Communism And Its Effect On Society

Communism And Its Effect On Society
I was often told as a child that humans share the same thing in common as each other and that was
our future destinations. Growing up, I ended up brushing off the thought, since I believed it was
nothing but an artificial excuse to scare me into doing well in life. Sadly after all these years, I regret
not taking the matter seriously because eventually, I understood what our destination really was the
hard way.
You see, the city of Panem is a vast monotony of ancient glass and marble shaped by many years of
corruption and greed. When the first trace of rebellion against the government was discovered back
in ancient times, the town began to collapse even more than it already had and within several years,
propaganda for a more amenable town ... Show more content on Helpwriting.net ...
I could hear shocked gasps from several members of the audience while loud shouts of pain
emerged from the stranger's mouth. I awkwardly shuffled in my step as I watched the boy violently
pushed against the wooden post. Moments passed by before I took a glimpse at the victim's face, I
could feel a rush of anxiety of curling into my stomach within an instant.
A jagged line ran across his eye and down to his cheek, weathered by age and surrounded with
patches of red marks situated around certain areas on his face. The broad size of the scar kept hidden
the dark details of his previous treatment and most certainly his possible conviction. The moment I
made eye contact with the troubled adolescent, my mind began to spiral, suddenly remembering my
previous encounters with the teenager.
His name was Caleb Durdin, a mysterious student who said to be against the propaganda and of
course was the same age as me, 14. I still remember during several classes, Caleb was always get in
trouble due to his opinionated behaviour. I understood that he wants to be a hero but sometimes I
wonder if he'll ever learn when to draw the line on when it's enough.
"Sooner or later, you're going to learn when to grow up and be a respectful member of society. I'm
not sorry it had to end this way Durdin, you brought this upon yourself." One of the soldiers who
dragged Caleb onto stage begun aggressively shouting at him and soon made his way towards the
... Get more on HelpWriting.net ...

General Review of Algorithms Presented for Image Segmentation
Image segmentation commonly known as partitioning of an image is one of the intrinsic parts of any
image processing technique. In this image pre processing step, the digital image of choice is
segregated into sets of pixels on the basis of some predefined and preselected measures or standards.
There have been presented many algorithms for segmenting a digital image. This paper presents a
general review of algorithms that have been presented for the purpose of image segmentation.
Segmenting or dividing a digital image into region of interests or meaningful structures in general
plays a momentous role in quite a few image processing tasks. Image analysis, image visualization,
object representation are some of them. The prime objective of segmenting a digital image is to
change its representation so that it looks more expressive for image analysis. During the course of
action in image segmentation, each and every pixel of the image segmentation is assigned a label or
value. The pixels that share the same value also share homogeneous traits. The examples can include
color, texture, intensity or some other features. Image segmentation can be defined as the technique
to divide the an image f (x, y) into a non empty subset f1, f2, ...., fn which is continuous and
disconnected. This step contributes in feature extraction. There are quite a few applications where
image segmentation plays a pivotal role. These applications vary from image filtering, face
recognition, medical imaging

Using Correlation Method For Match Two Digital Images
MATCHING:
We have used correlation method to match two digital images. This technique is also known as
template matching. It compares portions of one image against another on a pixel–by–pixel basis.
Correlation is a measure of degree to which two variables agree, not necessarily in actual value but
in general behavior .The two variables are the corresponding pixel values in two images , template
and source.
The matching process moves the template image to all possible positions in a larger source image
and computes a numerical index that indicates how well the template matches the image in that
position.
Template is nothing but a small region of image. Correlation method is simple and hence can be
analyzed appreciatively. There are two key features which make it simple and they are: shift–
invariant and linear.Shift–invariant means that we perform the same operation at every point in the
image. Linear means replacing every pixel with a linear combination of its neighbours.
The goal of this method is to find the correlated pixel within a certain disparity range that minimizes
the associated error and maximizes the similarity.
SECTION V
RESULT AND FINDING
The authenticated result is the presented in this section.
Data set of Test Ear localization Accuracy(%)
Images Reported in Proposed Method
Data Set 1 801 95.88 99.25
Data Set 2 802 94.73 98.50
Data Set 3 1070 91.11 95.61
1. The proposed technique breaks the derived edges of the profile face into a set of convex

A Short Note On Camera Mouse And A Computer Vision Based...
CE301 Individual Project
Initial Report
Camera Mouse and a Computer Vision Based Email System
Student Name: Cosmin Buzea
Supervisor: Klaus McDonald–Maier
Second Assessor: Francisco Sepulveda
Contents
Background Reading 3
Introduction 3
Camera Mouse 3
Computer Vision 3
Face Detection 3
Face Tracking 4
OpenCV 4
Computer Vision Based E–mail System 4
Project Goals 5
Project details 5
Functionality and Design 6
Hardware and Software required 7
Methodology 7
Project Planning 7
Reference 9
Background Reading
Introduction
A large number of handicapped persons that have limited mobility have had problems doing
activities without the help of others. The same problem is for them when using a computer because
it usually ... Show more content on Helpwriting.net ...
An inexpensive solution was to use the web camera as a mouse alternative. [2]
Camera Mouse
By using the web camera the computer input devices (mouse and keyboard) could be replaced by
the web camera to move the mouse pointer and a virtual keyboard instead of the typical keyboard.

[2]
The web camera will take video input of the user's head and it will send it to a face–detection system
that will recognize the face features. After recognizing the face features a tracking system will start
moving the mouse pointer based on the movement of a body part of the user. [2]
There are four types of controlling the mouse pointer: one is by using the eye movement, the second
is by using head movement, the third is by using hand movement and the fourth is by using a laser
that is mounted on the user head. [2]
Computer Vision
Computer Vision is a field that deals with describing the world that we see in the same way as any
human can by using algorithms and methods that can acquire, process, analyze and understand
images. [3]
In computer vision we can track a human's movement, we can create a 3D model of an area using
large number of photographs, face detection and recognition and large number of other applications.
[3]
Face Detection
For creating a camera mouse a developer needs to make a face–detection system that can recognize
the face features. This system must be use minimal computation time and achieve high detection

Techniques Used For Extracting Useful Information From Images
The main objective over here focusses on the enhanced image searching which can be carried out by
performing few of the existing techniques used for extracting useful information from images. These
techniques include image classification, Feature Extraction, Face detection and recognition and
image retrieval etc.
4.1 Image Classification
After the image has been processed using the 3 frameworks proposed the image needs to be
classified which is done using the image classification technique of image mining. Classification can
be carried out by applying the method of supervised classification and unsupervised classification
but here we will mainly focus upon supervised classification.
Supervised Classiﬁcation
Supervised classification is ... Show more content on Helpwriting.net ...
Various trees for example R–tree, R*–tree, R+tree, SR–tree etc are used in such cases.
4.5 Face detection and Recognition
The face plays an important role in today's world in the identification of the person. Face
recognition is the process concerned with the identification of one or more person in images or
videos by analyzing the patterns and comparing them with one another. Algorithms that are used for
face recognition basically extract facial features and compares them to a face database to find the
best and suitable match. Application of face detection and recognition includes biometrics, security
and surveillance systems.
V. RESULT AND ANLYSIS
We have taken six images which includes two Face based image, two Content based image, and one
feature based image and the last image which is a combined image which includes all three types i.e.
Face, content and feature. The search results obtained when the above mentioned six images were
searched for on a search engine is shown in Table I. The following table shows the time taken in the
searching process of the images:
Image Type of Image Time taken for searching
Image1 Face based 5 seconds
Image2 Content based 4 seconds
Image3 Feature based 5 seconds
Image4 Face based 3.5 seconds
Image5 Feature based 6 seconds

Image6 Combined 7 seconds
Table I: Time taken for Image search
From the results obtained from the above searches we can

Journal Article : Paranormal And Religious Believers
This essay will summarise and evaluate Tepani Riekki et al. journal article "Paranormal and
Religious Believers Are More Prone to Illusory Face Perception than Skeptics and Non–believers"
(2013). It considers the advantages of the innovative method used for conducting the research, the
problem of the omission of participant cultural background and the importance of making a division
between religions with human–like divinity and religions with non human–like ones. This essay
concludes that although this study provides important findings about illusory face detection, further
research is needed to totally understand this phenomenon.
Following previous studies likethe one by Rieth et al. (2011), that found a relatively high illusory
face detection in pure noise images, and the one by Krummenacher et al. (2010), that demonstrated
that paranormal believers are more likely to identify faces in scrambled configurations, this study
aims to demonstrate 1) that people who believe in paranormal phenomena and religious people tend
to be more likely to illusory face perception than namely skeptics and non–religious people and 2)
that paranormal believers and religious people tend to rate artifact faces as being more face–like and
emotional than skeptics and non–religious do. A total of 47 participants (recruited from electronic
mail lists, internet forums, notice boards and with the snowball method) was included in the
experiment. Each participant was shown a set of pictures

Liar 's Dice Game Rules
Liar's Dice Game Rules
Liar 's Dice is a class of dice games for 2 or more players requiring the ability to deceive and detect
an opponents' deception. The genre has its roots in South America, with games there being known as
Dudo, Cachito, Perudo or Dadinho; other names include "pirate 's dice," "deception dice," and
"diception."
In "common hand" liar 's dice games, each player has a set of dice, all players roll once, and the bids
relate to the dice each player can see (they're hand) plus all the concealed dice (the other players '
hands). In "individual hand" games, there is one set of dice which is passed from player to player.
The bids relate to the dice as they are in front of the bidder after, selected dice have been re–rolled.
Common Hand
Five six–sided dice are used per player, with dice cups used for concealment.
Five dice are used per player with dice cups used for concealment.
Each round, each player roles a "hand" of dice under their cup and looks at his/her hand while
keeping it concealed from the other players. The first player begins bidding, announcing any face
value and the number of dice that the player believes are showing that value, under all of the cups in
the game. Ones are often wild, always counting as the face of the the current bid.
Turns rotate between all players in a clock wise order. Each player has two choices during a turn: to
make a higher bid, or challenge the previous bid–typically with a call of "liar". Raising the bid
means either

Feature Extraction : The Third Stage Of Medical Image...
II FEATURE EXTRACTION Feature extraction is the third stage in medical image processing
application, after image pre–processing. In feature extraction, the features like the shape, colour,
texture are used to describe an image content[bio2].features can be short relevance or strong
relevant ones. Short relevant features give only little information about the image, while strong
relevant features provide significant information about the image. Finding these strong relevant
features are time consuming and hence good techniques has to be developed. 2.1 Problems
associated with feature extraction Finding meaningful feature are important step because of the
following reasons(a)it is important to find all the relevant features from the various sub features
which is time consuming.(b)every feature is meaningful with certain discriminations (c) It is not
good to include too much features which can worsen the performance of image classification A good
feature contains information which distinguish one object from other object[feature2]. A good
feature has certain characteristics which are as follows: * perceptually important (as to humans)
*Logically extraordinary (eg. maxima) *Identifiable on different images *Invariant to certain type of
changes *insensitive to changes Features are generally classified as : general features ,which are
independent features like colour,texture ,shape. Domain specific features which are independent
features ,like human

A Brief Look at the Work of Evan Holloway
Evan Holloway resists any definite classifications. Holloway employs a wide variety of found
objects such as tree branches, tires, and barbed wire, but also sculptural material such as steel and
paper–Mache.
Holloway incorporates a lot of the figural objects into his sculptures. Small crudely formed faces
created with sculptamould which is a material similar to plaster, are often found in his work. Usually
adhered to steel rods or peering out from the side of the boxes. Each face is painted to highlight the
eyes and mouth, therefore each expresses a certain degree of personality. For the work of 58, this
face motif appears repeating itself fifty eight times. The work is part of an ambitious series of one
hundred total works that presents a numbered sculpture with the corresponding amount of
sculptamould faces easily balanced on steel rods. Based on doomsday theories about population
growth, this sculpture is at once calculated and rigorous but also playful and amusing to look at.
When I look at this piece I see something different that I have never seen because when you first
look at it you think "what is this?" it's very random, but when you take a close look at it like at the
face molds you see the face expressions on them and each one is different like there trying to tell a
story about what's going on. As well as it look like a depressing story was being told about lost souls
in a certain era like a war of a great depression with people screaming for help with

Advantage And Disadvantage Of Rspberry Pi
Visually impaired people face a lot of problems in their daily life. In order to make them live
confidentially without the need of others we develop an assistive technology. We propose a camera
based tool which helps to read the text label from the products that are commonly in use. We first
propose image capturing method that is usually a camera used to capture the object whose label is to
be read. Then feature extraction, every image has its own features different from others. We use
certain feature extraction algorithms like gradient conversion, sobel edge detection, canny edge
detection etc. Histogram might be applied to extract the image features. Finally speech output the
processed image after recognition label text is output to visually impaired people as speech output.
Raspberry pi is used for this entire application.
Raspberry Pi is a credit card sized single computer which uses ARM1176JZF–s core system on chip
is used to place all the necessary electronic components on a single chip. It eliminates a single chip
for CPU, GPU, and USB controller. RAM is compressed to mini size. Raspberry Pi needs an
operating system to start up. Advantage of using a raspberry pi is that it omits any onboard non–
volatile memory used to store the boot ... Show more content on Helpwriting.net ...
Preprocessing method involves series of operation to enhance and make it suitable for segmentation.
Main function of preprocessing is removal of noise that is generated during image generation.
Filters like min–max filter, Mean filter, Gaussian filter etc. may be used to remove noise.
Binarization process is used to convert grayscale image into black and white image. To enhance the
visibility and structural information Binary morphological operation is used. This involves opening,
closing, thinning, hole filling etc. The captured image may not be perfectly aligned so, slant angle
correction is performed. Input image may be resized according to the need of

Recognizing the Temporal Dynamics of the Face
Fig. 1.1 Universal Emotions
Most of the developed methods try to recognize the basic expressions and some attempts at
recognizing non–basic expressions. However, there have been very few attempts at recognizing the
temporal dynamics of the face. Temporal dynamics denotes to the timing and time length of facial
actions. The significant terms that are used in joining with temporal dynamics are: onset, apex and
offset. These are known as the temporal segments of an expression [40]. Onset is the instance when
the facial expression starts, apex is the point when the expression is at its peak and offset is when the
expression fades away (start–of–offset is when the expression starts to fade, and the end–of–offset is
when the expression completely fades out). Similarly, onset–time is defined as the time taken from
start to the peak, apex–time is defined as the complete time at the peak and offset–time is defined as
the total time from a peak to the stop. Pantic and Patras have reported successful recognition of
facial AUs and their temporal segments [2]. By doing so, they have been able to recognize a much
larger range of expressions.
Another very important type of expression classification is 'posed' and 'spontaneous'. Posed
expressions are the artificial expressions that a subject will produce when he or she is requested to
do so. This is commonly the case when the subject is under normal test condition or under
observation in a laboratory.
In contrast, natural expressions are

From the Ground Up
The coffee shop where I wait for Karen is loud and busy. I sit and take notice of the people around
me. The shop is filled with young and old people alike, and I notice the differences between these
two generations. The younger crowd sits at almost silent tables everyone's eyes on the screens in
front of them. The older crowd sit and talk. Face–to–face with friends at their table and even with
strangers at other tables, by eavesdropping and then inserting themselves into the conversation.
While some of the younger people find this behavior rude, I find it oddly charming. When Karen
comes in, I immediately recognize her bright smile. Karen is an older woman with brown hair and
kind eyes. Karen Bowman and I worked together a few years ago at OK Foods. I am excited to see
her and catch up on all the office gossip. We find a quiet corner in the shop to talk. I am going into
the Accounting field and I am looking forward to learning more about this from her experience.
Karen explains to me that she got her first bit of experience from her mother, who taught her how to
balance a checkbook and write checks. Karen learned this at an early age, because her mother
wanted to teach her about the practical things in life. Another Lesson that Karen's mom taught her is,
"a woman could take care of things... run her own life and be able to handle raising children. It
definitely prepared me for being a single mom." Hearing this I can feel that Karen has a great deal
of respect for her

Human Detection Paper
Here is an example of a real program solving human detection problem. The following image
illustrates every step of the program. After reading the digital image into internal memory, the
program uses cvThreshold function to transfer the colorful image into a grayscale one. Then
according to the optimal variance, transfer the grayscale image to a binary image. After that, the
program uses cvDilate and cvErode functions to do dilation and erosion operation. Thus, in order to
improve the accuracy rate, cvSmooth function is used to smooth the edges of the image. Then
program uses canny operator to detect and outline edges. At the end, circle hough transform is used
to detect the circles in the images, which are the sign of human head. So the program ... Show more
content on Helpwriting.net ...
However, the recognition of human faces is not so much about face recognition at all, it is much
more about face detection. It has been proven that the first step in automatic facial recognition, the
accurate detection of human faces in arbitrary scenes, is the most important process involved. When
faces can be located exactly in any scene, the recognition step afterwards is not so complicated
anymore. There are already many face detection algorithms, as well as API and software. For an
example, TensorFlow, which has been recently posted on GitHub by Google, is an open source
software library for numerical computation using data flow graphs. Nodes in the graph represent
mathematical operations, while the graph edges represent the multidimensional data arrays (tensors)
that flow between them. This flexible architecture lets you deploy computation to one or more CPUs
or GPUs in a desktop, server, or mobile device without rewriting code. TensorFlow was originally
developed by researchers and engineers working on the Google Brain team within Google's
Machine Intelligence research organization for the purposes of conducting machine learning and
deep neural networks research. The system is general enough to be applicable in a wide variety of
other domains, as well. We can use this library to do much more than detecting faces. It can also
analyze the graph and compare it with the similar ones. After that, it will give

Studying Real Time Application On College Student For...
Abstract– In this paper, we are going to develop real time application on college student for
automatic detection and recognition of student during academics, followed by display of personal
information of students. This application makes proper use of CCTV camera for real time face
detection of students of particular college. The proposed application can be divided into four major
steps. In first step, each person in the image is detected. In the second step, a face detection
algorithm detects faces of each person. In third step, we use a face recognition algorithm to match
the faces of persons in the captured image with the database of students' faces which also stores
personal as well as academic information of each student. In final step, the face of student along
with his/her personnel information will be displayed on screen to the user when the image captured
by CCTV camera contains any student image of present college. The college administrator as well
as faculty members can use this application to identify students and also to distinguish students from
outsiders.
Keywords– Real time face detection, face recognition, denoising
I. INTRODUCTION
Now–a–days identification of students in college campus is very necessary to identify outsiders
from college campus. So we decided to make an automatic device which identifies students of
college. Also the identification of each student through automatic device will help faculty as well as
administrator to make record of

The Dangers of Facial Recognition Technology
Dangers of Facial Recognition Technology
In the present contemporary era, facial recognition technologies are being installed by the
companies in an extensive sense that surely reflects a continuum of growing hi–tech superiority and
complexity. At the most ordinary level, facial detection is done by this technology which means that
a photo is just detected and located for a face ("Facing Facts: Best Practices for Common Uses of
Facial Recognition Technologies," 2012).
The digital image of the face of a person can be matched against a record of other images by using
face recognition software. In case that some of the images in the database go with the digitized
image, the owner is reported about it by the system. Automatic face recognition has been studied
and investigated extensively since 1990s and its usage is turning out to be no–nonsense in the
present times. Although a number of automatic face recognition applications are relatively agreeable
and harmless (access regulation to armaments, currency, illegal proof, nuclear equipment/supplies
etc), there are still several dangers of face recognition systems that include violation of privacy and
civil liberties, unrestrained exploitation, identity theft, illegal use of database, free access to personal
data on social media etc. (Agre, 2001).
Invasion of Privacy: The critics of FRS are mostly concerned by the privacy issues brought by it.
The main reason behind this criticism is that the flow of information is being

Emotion Detection Using Sobel Filtering And Retrieving...
Emotion Detection using Sobel Filtering and Retrieving with Sparse Code words Mahevish Fatima
Mohammed Gani
Study Branch: Computer Science and Engineering
Designation: Student
Contact Number: 9637064965 Maharashtra Institute of Technology, Aurangabad, Maharashtra
ABSTRACT :
Extracting and understanding of emotion is of high importance for the interaction among human and
machine communication systems. The most expressive way to display the human's emotion is
through facial expression analysis. This paper presents and implements an automatic extraction of
facial expression and emotion from still image. There are steps to detect the facial emotion; (1)
Preprocessing,skin color segmentation and edge detection using Sobel filtering and (2) Verifying the
emotion of characteristic with Bezier curve.Retriving emotion using sparse codewords which are
used to analyze this results in medicine, and enhancement in CBIR.
To evaluate the performance of the proposed algorithm, we assess the ratio of success with
emotionally expressive facial image database. Experimental results shows average 66.6% of success
to analyze emotion.
Keywords: Facial Expression,Preprocessing ,Skin Color Segmentation,Sobel Filters,Bezier Curve,
Attribute enhanced sparse codeword.
I. INTRODUCTION:
Emotion plays an important role in human communication and therefore also human machine dialog
systems

Woke Up New: A Fictional Narrative
I can smell someone, cooking delicious, crunchy, tender and tasty bacon. It was weird because I can
smell it in my dream and reality. Until a loud, non–stop sound rung onto my head, it was my alarm
clock. I remember that it's Monday morning. The most awaiting day of every student, not really. My
mom is always putting it near me. Maybe she got tired of waking me up every morning. I tried
removing it once but consequence is far worse. She would get a pan and spatula and slam them
together if she sees I don't wake up in time. It made my head hurt so I took a long warms shower, it
help me freshens every time. I dressed up for school and 'clean' my room. "I'm not doing this early
in the morning" he said it angrily
He went downstairs, wearing a face that seems someone is not ready to face the adult world yet. It
suddenly changed when he saw his lovely looking mother. But that's rare. "Good Morning Max" she
greeted "Good Morning Mom" he replied
He sat down on the table with full of delicious looking food. Bacon, pancakes, egg, blueberries,
strawberries, milk and so much more. Normally, he would eat like everyday he's always full but
today he seems he didn't eat for the past few days. "Slow down honey, you might get choked."
Max's mom giggled.
Mrs. Cranny is Max's mom. She's often not at home. She's always at business trip leaving Max at
home alone with their maids. While his dad is somewhere unknown; Max isn't really close at him
ever since he was a child. He

A Brief Note On Pedestrian Detection Of Surveillance
Pedestrian Detection in Surveillance
Abstract
Pedestrian detection is fragmented as there are numerous algorithms used in different research. This
research aims to provide an overview to understand the current state of pedestrian detection as well
as analyse the challenges, effectiveness, accuracy and cost benefit of different approaches used in
surveillance and how current challenges are being tackled.
Introduction
Pedestrian detection is a key problem in computer vision. There are a number of ways that makes it
difficult to achieve without faults due to the differences in colour, motion, orientation and poses of
individual human beings but also segregation of the background which may or may not be cluttered
as well as other moving objects that just might get in the way.
Even though it is a difficult matter it is still a major research areas as there a great implications of
perfecting the system. Key application could include in the field of surveillance, robotics as well as
a tool in vehicular safety. It can also be used in a commercial apects as businesses would be able to
count the number of pedestrians creating a flow statistics for optimizing their business. For it to be
effective it should be able to handle emerging complex scenarios such as speed of detection for
vehicles to enable them to avoid or stop immediately and the accuracy in detecting pedestrian
through a crowd for businesses. These applications can also then be forwarded to surveillance as
factors

The Use Of CKT And Concealed Knowledge Test Methods
The study essentially looked upon different variations and means to figuring out ways on how to
catch lies using alternative CKT or Concealed Knowledge Test methods. This particularly focuses
itself on the recognition of introspective, privileged information using participant reaction scores.
Before going over the actual study, the paper lends itself to explaining what may be considered
confounding factors later shown in the study by listing out problems that might arise with lie–
detectors. The Lykken study led to researchers using something called the Guilty Knowledge Test
method to acknowledge ways on how to detect guilt which is referenced in this paper to contribute
to said future validity problems. Some of the problems that arises ... Show more content on
Helpwriting.net ...
There were two variables installed, one of which focused on a photo stimuli and the other using a
phrase provision, wherein the students that contributed happened to have gone through multiple
tasks that led to them gaining hidden information. Using something called probe study, the students
were then randomly assigned either levels of constraints in which they enacted upon the tasks at
different intervals and sessions using something called familiar or unfamiliar methods. As stated
earlier, multiple probe methods were used during the tests varying in degree to the order in which
participants went through the tasks. The students, 36 of them, went through photographs of faces on
the photo constraints and a couple were chosen at random to observe said faces in a limited amount
of time. After the observations were over, the students were asked questions regarding the faces
they've seen, specifically any changes in mood and facial structure. As the start of the procedure,
this portion was done so multiple time in reordered sections so as to remove any validation issues,
and then moved on to a rating section wherein they scored the faces based on looks. In the second
constraint, the rest of the participants worked on different words and, like the earlier photo variable,
there were students picked at random to participate in a smaller probe in which they were revealed
particular words and asked to memorize the order in which they were given out. They

Informative Speech Outline
Informative Speech Outline: Facial Expressions
Introduction
Attention getter: Did you know that there are seven expressions that manifest in the exact same way
on almost everyone's face?
Reason to Listen: Today I will tell you how these facial expressions can be used to detect lies by
both humans, and computers, which can now recognize facial expressions better than humans.
Thesis Statement: Facial expressions and the way the human brain perceives them is an instrumental
piece in the concept of human communication that effects the way all humans interact with each
other.
Credibility Statement: When I watched a TV show call "Lie to Me" which offers a fairly realistic
interpretation of Psychologist Paul Eckman, I became intrigued by the concept ... Show more
content on Helpwriting.net ...
Gender differences
Women tend to me more perceptive of the emotional meaning of facial expressions than men.
Development of these difference are related to studies showing that mothers behave differently with
their daughters than their sons.
Micro expressions
What they are: Instantaneous reactions that reveal unfiltered emotions that allows people who are
trained to see them, as well as computer systems, to detect lies.
The same as the universal expressions, they occur for about 1/15 to 1/25 of a second, usually when a
person is concealing or repressing emotion.
Micro Expressions in deception:
Less than 1% of the population has the natural ability to detect lies.
Interpreting micro expressions can be very useful for law enforcement officials to recognize
situations of danger, as well as discern the guilt of a suspect.
There are two types of facial expressions that are made while lying: the voluntary ones that serve the
lie, and the involuntary one that reveal the deceit.
Universal Expressions
Seven universal micro expressions:
Theory developed by Paul Eckman. Recognizable to all humans regardless of culture, race, gender,

Studying Real Time Application On College Student For...
In this paper, we are going to develop real time application on college student for automatic
detection and recognition of student during academics, followed by display of personal information
of students. This application makes proper use of CCTV camera for real time face detection of
students of particular college. The proposed application can be divided into four major steps. In first
step, each person in the image is detected. In the second step, a face detection algorithm detects
faces of each person. In third step, we use a face recognition algorithm to match the faces of persons
in the captured image with the database of students' faces which also stores personal as well as
academic information of each student. In final step, the face of student along with his/her personnel
information will be displayed on screen to the user when the image captured by CCTV camera
contains any student image of present college. The college administrator as well as faculty members
can use this application to identify students and also to distinguish students from outsiders.
Keywords– Real time face detection, face recognition, denoising
I. INTRODUCTION
Now–a–days identification of students in college campus is very necessary to identify outsiders
from college campus. So we decided to make an automatic device which identifies students of
college. Also the identification of each student through automatic device will help faculty as well as
administrator to make record of entered

The Movie ' A Real Hero '
When Driver meets his neighbor Irene that emotionless face from the beginning of the film softens
up a little. In a small scene where Driver looks out the window of his apartment we see Irene and
her son in the distance. So we don't get the typical close up of the actors. This highlighted the Driver
longing to be in a normal world and just how far away from that he felt. Later in the film when Irene
and her son goes to the auto body shop where Driver works you can see his face light up like a little
boy with a crush. He actually smiles. When Driver gives them a ride we hear what is known to be
the film 's main theme. "A Real Hero", a song with lyrics telling the tale of a man standing up for
what's right even when everything is on the ... Show more content on Helpwriting.net ...
There is one scene when Driver is sitting in a couch with Irene's son Benicio watching the television
and they share a conversation. Typically it would just be filler to move the story along, but being
that this film is very meticulous every scene matters and means something that add to the bigger
picture of the story. In the scene Driver asks Benicio "Is he a bad guy?" In which Benicio responds
"Yeah." Driver asks him "How can you tell?" Benicio responds "Cause he's a shark." Driver then
asks "There's no good sharks?" In which Benicio responds "No. I mean just look at him? Does he
look like a good guy to you?" The way I interpreted that conversation as being in reference to Driver
himself. He's a shark. He's a bad guy. He wants to know if there are any good sharks and when
Benicio thinks otherwise he gets the look as if reality slapped him in the face.
That realisation continues into the next scene when Driver learns that Irene's husband is coming
home from prision. His future that was starting to look bright then begins to fall apart. When
Standard is released from prison they have a welcome home party where he thanks Irene for waiting
for him. At the same time Driver is in his apartment working on a car part. This is where the
soundtrack that is used enhances what Driver is feeling throughout the whole scene. While he is
working on the car part he can

The Reason Behind Discovery
The Reason behind Discovery Once I found this painting my initial reaction was that I wanted to be
able to see his face and was extremely bothered by the apple in the front. As I continued to look at
the photo I soon realized that I could actually see both of his eyes to the slightest extent. After
noticing this I was somewhat relieved that I could at lease see a small amount. The piece of the
painting that drew most of my attention simply because I felt that it was completely out of place.
Therefore by it being there I was both confused and upset at the same time. At this point I had not
reading the meaning behind why the author had decided to place it there and therefore was confused
and began to think that I was possibly looking at a modified painting of some kind. The man can be
seen as a problem and the apple can be seen as a distraction from the problem. There are several
techniques that were utilized the artists in order to cause the viewer to react in specific ways. One of
these is by making the painting completely balanced by placing the man and the apple in the direct
center of the painting. Not only did the artist place the object in the center but he also made the rest
of the objects in the painting significantly lighter. By doing this it causes the viewer to put more
focus onto the man and the apple. In terms of dominance, the artist made it so the man is the largest
object inside of the photo and therefore most of the attention goes towards him. The

Execution Poem Analysis
In this poem Execution written by Edward Hirsch tells a philosophical reflection expressed with
sadness about a sicken high school football coach who is extremely passionate. The overview of this
poem is centered around his favorite word execution. Execution is expressed in multiple ways in this
poem. Life was about football for the coach, he would pour in his blood sweat and tears to the game.
There was no that he received every inch of effort from his player. Countless hours of preparation,
practice, and energy was devoted. You would think working this hard would bring upon serious
exhaustion, but the coach was like an energizer bunny, he would keep going. Unfortunately this
lifestyle caught up with him, the speaker says he developed cancer. I believe that he spent too much
time on the game of football. Ultimately this is what lead to his illness, the neglection of his self for
the game that he loved. Details from the poem will be used to argue my claim. These details are
relevant to how the coach acted and his philosophies. The significance that we get out of my claim is
thought provoking. The type of execution he was preaching to the team went into full effect in the
form of cancer towards him. Let me start off by saying that the coach had great intentions for the
way he coached. Hardnosed, no nonsense guy, who taught discipline. Learning the art of discipline
helps you on the field, but the results are even more notable off the field in everyday life. You
cannot go wrong with being a disciplined individual. Real big on fundamentals, a perfectionist at
teaching them. The speaker states, " And had perfect unquestioning faith in the fundamentals of
blocking and talking, the idea of warfare without suffering or death, the concept of teammates
moving in harmony like planets. An architect at work piecing together a formula to prepare his team
the best way he can. Losing was not an option, the speaker says that the coach "despised losing." I
personally hate losing myself so I can relate. Losing to me is like getting stabbed in the back. It
hurts tremendously to not come out victorious. I do not fault the coach for putting the team through
strenuous drills or drilling formations and plays in their head.

Face Recognition Using Orthogonal Locality Preserving...
FACE RECOGNITION USING ORTHOGONAL LOCALITY PRESERVING PROJECTIONS.
Dr. Ravish R Singh Ronak K Khandelwal Manoj Chavan
Academic Advisor EXTC Engineering EXTC Engineering Thakur Educational Trust L.R.Tiwari
COE Thakur COE
Mumbai, India. Mumbai,India. Mumbai, India. ravishrsingh@yahoo.com
ronakkhandelwal2804@gmail.com prof.manoj@gmail.com
Abstract: In this paper a hybrid technique is used for determining the face from an image. Face
detection is one of the tedious job to achieve with very high accuracy. In this paper we proposed a
method that combines two techniques that is Orthogonal Laplacianface (OLPP) and Particle Swarm
Optimization (PSO). The formula for the OLPP relies on the Locality Preserving Projection (LPP)
formula, which aims at ﬁnding a linear approximation to the Eigen functions of the astronomer
Beltrami operator on the face manifold. However, LPP is non–orthogonal and this makes it difficult
to reconstruct the information. When the set of features is found by the OLPP, with the help of the
PSO, the grouping of the image features is done and the one with the best match from the database
is given as the result. This hybrid technique gives a higher accuracy in less processing time.
Keywords: OLPP, PSO,
INTRODUCTION:
Recently, appearance–based face recognition has received tons of attention. In general, a face image
of size n1 × n2 is delineating as a vector within the image house Rn1 × n2. We have a tendency to
denote

The Adventures of Snow Castle
One summer day long ago, a little girl named Julia was playing by an old well near the back garden.
In her arms she carried her favorite doll Annabelle. Annabelle was no ordinary doll, for she had
three faces. One face was smiling, one was frowning, and the other was crying. Annabelle had long
auburn hair and the brightest green eyes. She wore a purple, satin gown and shinny, silver shoes.
Julia thought that Annabelle was too beautiful to have a sad or crying face, so Annabelle always
wore the face that was smiling.
While she skipped and sang merrily around the large stone well, she noticed a swarm of butterflies
with bright blue wings. They were fluttering about and feasting on the nectar of the garden flowers.
Enchanted by their beauty, she decided to sit Annabelle on the edge of the well while she explored
the garden. As she was sitting Annabelle down on the stone surface, the doll fell backwards and into
the well. Julia screamed.
"Daddy! Daddy!"
Julia's father Charles, who was nearby chopping wood, heard her cry out for help and feared that his
only child had been injured. He quickly rushed to her side.
"Julia, are you hurt?" asked Charles, as he knelt beside his teary eyed daughter. "What unfortunate
thing has happened to you my dear? Please tell me."
Charles grabbed the handkerchief from out of his shirt pocket and began wiping away her tears.
"Daddy, Annabelle fell down the well and it's all my fault," sniffled Julia. "She's going to drown."
Charles gently cupped his

Chapter One : A New Beginning
CHAPTER ONE
A NEW BEGINNING
Sweat dripped down my face. The bruises on my back and sides throbbed, my broken ribs screamed
in agony. Every breath was a tiny battle, every inhale and exhale evokes a gurgly rattle and a racking
cough. All of this pain could be gone with one choice. A single sentence would take away all my
bruises, heal my broken bones, even restore my lame leg that I was born with. One sentence. "I.... I
g–grant permission!" I cried, gasping, shoving every last ounce of my strength into those words.
Tears were running down my face as pain overwhelmed me at last, and my world faded into a
blissful state of nothingness.
* * * * * * * * *
"Logan.... Logan! Get up! Are you okay? Oh! Oh God, Oh ... Show more content on Helpwriting.net
...
I was dying, and I didn't even know how, or why, or when. I began panicking and told myself to
calm down. "Oh, Logan, oh God, oh God, I'm sorry, I–I didn't know... I didn 't think.... I mean, you
always healed so fast, but–" The blonde girl blubbered. "Where am I? Who are you?" I interrupted,
wanting to know what happened to me before I bled to death. Maybe if I knew I could fix it. Being
logical was the only way I could keep myself from freaking out. The girl sat there, watching me, as
if expecting me to say, Ha! Just kidding, I know you!, but I was dead serious – literally. Time passed
quickly, as if running from the scene of a dying man and a person he didn 't remember. This wasn 't
going to end well. The sun began to set as the girl sat there, staring at me, dumbfounded. And then,
all at once, she began talking again. "I– I'm Jennifer, remember? I'm your girlfriend...? Do you
honestly not know what happened? Did... did my bringing you back make you forget.... I stabbed
you with this!!" She cried out now, holding a wooden stake in her hand. The stake was covered in
blood, and it had the same metallic smell. "L–Logan, do you... do you really not remember? Do you
really not remember me, or us, or anything? You don't remember being a vampire? You–" She
stopped talking abruptly, and let out a strangled sort of gurgle. Claws were embedded in her throat,
sweet, intoxicating blood

Essay on Deception
Deception According to Hyman (1989) deception implies that an agent acts or speaks so as to induce
a false belief in a target or victim. Deception can occur in everyday life. Whether it is telling
someone they look nice or not telling them that they look fat. This is an important process for
forming relationships and general social interaction. However, although this is useful for social
interaction, it is a serious problem in other areas. Deception can be a problem when people actively
deceive in job applications, giving evidence and in court. Being able to detect whether a person is
lying or ... Show more content on Helpwriting.net ...
Police officers). A recent study by Mann, Vrij and Bull (2004) showed that when shown videotapes
of real–life lies and truths and found that the officers had an accuracy of 65%. This was found to be
better than lab studies using, normal (non–trained) participants. Additionally, accuracy was
negatively correlated with popular stereotypical cues such as gaze aversion and fidgeting. However,
although this suggests that human lie detection is fairly accurate, earlier research has found the
opposite. According to Wallace (1999), psychological research on deception shows that most of us
are poor judges of truthfulness. One may assume that this only applies to only ordinary people and
not professionals. However further research shows that 'this applies to professionals such as police
and custom inspectors, whose jobs are supposed to include some expertise at lie detection' (Wallace,
1999). An early study by Kraut and Poe (1980) that custom inspectors showed accuracy scores
rarely exceed 65% where 50% is the chance level. A later study by Kohnken (1987) showed that
police officers performed no better than chance when judging the truthfulness of witness statements
(on video). Furthermore, it was found that the more confident the officer was of their judgement, the
more likely they were wrong. This

Block Diagram Of Proposed System
IV. PROPOSED SYSTEM
A. Block diagram
Fig 3: Block Diagram of Proposed System
B. Proposed system
In mostly emotion recognition system use Principal Component Analysis (PCA) algorithm for
detection. However, in that detection of action unit not done properly so it has some limitation.
Recognizing emotion from ensemble of features uses patch descriptors like histogram of oriented
gradients, local binary patterns and scale invariant feature transform. It has two outcomes one is
person specific and another is person independents. However, by comparing both we can say that
person dependent emotion recognition system has better performance.
The basic flow of algorithm is as show in Fig 3 As our aim is to do real time state of mind, detection
of human so input image directly taken from webcam video. Therefore, we take few second video as
input then extracting the frames from that video. After that number of frames, we apply some basic
function on that image to improve the image quality. Colour image more complex for processing so
that we convert tis colour image to the grey scale image.
Fig 4: Image processing flow for a single image.
Most real–time video processing and computer vision systems require a stream processing
architecture, in which video frames from a continuous stream are processed one (or more) at a time.
Live video processing is more complex as the input signal data is more due to live video, instead of
that if we use offline video to system and generate

Pardah
INTRODUCTION The holy prophet (peace be upon him) had expressed his concern for the basic
rights and respectable place for women in society 1400 years ago. In this regard, however certain
restrictions particularly observance of purdha by women deemed extremely necessary, which was
ordered by almighty Allah. ¡§Say ¡§o¡¨ Muhammad, to believing men that they should observe
modesty of the eyes and hidden parts. This is purer for them but god knows what they do and say to
believe women that they should observe modesty of eyes and guard their hidden parts. Let them not
display their attraction (zeenat) except those naturally exposed. ... Show more content on
Helpwriting.net ...
PURDAH AND INJUNTION OF QURAN AND AHADITH The Quran commands the believe,
both men and women to lower their gaze and keep modesty. However, the women have been obliged
to fulfill certain additional responsibilities in the matter of dress, adornment etc. the relevant verses
are, ¡§Tell the believers to lower their gaze and to safe guard their private parts, that will make for
greater purity for them and tell the believing women to cast down their eyes and guard their private
parts, and not to reveal their adornment save such as is to appear¡¨(al Quran 24:30) Further the
Quran reads ¡§And let them (women) not display their beauty and ornaments except what (must
ordinarily) appear their of and let them draw their garment over their bosoms and not display their
beauty except in the presence of their husbands, fathers, husband¡¦s father or their own sons,
brother¡¦s sons or their sister¡¦s son¡K¡¨(al Quran,24:31) AHADITH OF THE PROPHET (P.B.U.H)
Ayesha (wife of prophet) reported that asma a daughter of abu–baker came to the messenger of
Allah while there were thin clothes on her. He approached her

`` Marbles `` : An Artist 's Struggle With The Effect Of...
In Marbles, Ellen Forney shares the story of an artist's struggle with the effects of bipolar disorder
on her abilities. Initially afraid of confronting the possibility that choosing to control her condition
may extinguish her creativity, Forney chooses to isolate her experience from those of others. This
fear and the resulting loneliness being unsustainable, Forney eventually makes the decision to
explore the work of others and finds comfort in their experiences. Ultimately, she constructs her
own work as a form of therapy that can help her come to terms with her own bipolar disorder,
definitively resolving the question of whether it is possible to be a stable yet creative artist. In this
context, Forney theorizes her memoir as a form of company in order to embrace her unrelenting
condition as being an essential part of her identity.
Forney's suffering arises not just from the symptoms of her bipolar disorder, but from the self–
isolation that results from her fear of losing her creativity. After her diagnosis, Forney characterizes
herself as a "rock star" cheerfully eating an energy bar and casually tossing Klonopin into her mouth
(28). With the same carelessness, she begins reading Kay Jamison's memoir, a story by a
psychologist who suffers from the same disorder as she. Here, Forney's face shows a dismissive
skepticism, betraying her adamant refusal to let her disorder "dictate everything in [her] life" (27–
28). Her reasons for this refusal become readily apparent when we

Course Description : Academic Coaches
Course Description: Academic Coaches/Leaders
You will attend four face to face (F2F) Professional Learning days. During those days you will be
actively engaged as a learner. Your engagement will happen along two different paths. First, you will
be reading, thinking, collaborating, and writing reflections about mathematical domains,
professional journal articles, and or the mathematical practices. Secondly you will be actively
engaged in learning about and doing hands–on AIMS math tasks.
Once the Face 2 Face Learning day is completed and upon returning to their school, academic
coaches and academic leaders are expected to observe the implementation of ONE AIMS math task
in a math class, and submit TWO written reflections of the experience in an organized manner by
using the Haiku online site. One of these reflections will be visible only to the AIMS F2F
Facilitators and the AIMS Online instructors and one will be visible to all of the AIMS Instructors
and all of the participants in your academic coaching and academic leaders group to encourage
collegiality, connection, and to create and maintain a learning community.
For the purposes of this project the academic coaches and academic leaders will use "An
Instructional Implementation Sequence for Attaining the CCSS Student Practices in Mathematics"
from Hull, Balka, and Harbin Miles (2011) as a guiding document from which to base their
observation and reflections. Coaches and leaders will look for patterns of growth in

Change Blindness And Its Effects On Blindness
Many studies and experiments have been conducted to explain why change blindness occurs and in
what situations is change blindness more likely to occur. Literature on change blindness is quite
extensive, as it is an emerging area in psychology. A number of researchers have conducted
experiments into the key areas where change blindness has been found to cause consequential
outcomes. These areas include the effects of change blindness on eye witness testimonies, driving
ability, and effects on autism. Literature on change blindness places an emphasis on methodology
and this literature review will focus primarily on this. According to Simons & Levin (1998) change
blindness is the phenomenon that occurs when a person fails to detect large changes between one
viewed scene and another. Recent studies show similar findings and evidence as to the original
literature into change blindness. As stated by Rensink, 2002 (as cited in Davies & Hone, 2007),
change blindness has been the subject of intensive research in recent years beginning with studies in
which researchers manipulated the content of abstract scenes.
Researchers do differ on their perspectives on change blindness depending upon their method
approach and background or field; however literature is largely in an agreed consensus as to what
change blindness is and its effects on attention. Change blindness is studied by using the
methodology of change detection, which is where participants are shown two stimuli that are

The Shot Boundary And Classification Of Digital Video Essay
Shot boundary and classification of digital video is most important step for effective management
and retrieval of video data. Shot transitions include abrupt changes and gradual changes. Recent
automated techniques for detecting transitions between shots are highly effective on abrupt
transitions. But finding gradual transition is major challenge in the presence of camera and object
motion. In this paper, different shot boundary detection technique has studied. The main focused on
to differentiated motion from various video effects noise, illumination changes, gradual transition,
and abrupt transition. Specially, the paper focuses on dissolve detection in the presence of camera
and object motion Keywords: Shot boundary, Gradual transition, Abrupt Transition, Video Retrieval
I.INTRODUCTION: The advances in the data capturing, storage, and communication technologies
have made vast amounts of video data available to consumer and enterprise applications [1].
However, interacting with multimedia data, and video in particular, requires more than connecting
with data banks and delivering data via networks to customers, homes or offices. We still have
limited tools and applications to describe, organize, and manage video data. The fundamental
approach is to index video data and make it a structured media. Manually generating video content
description is time consuming and thus more costly to the point that it's almost impossible. This is
because of the structure of video data,

Perowne's Rationality
Ian McEwan's novel, Saturday, takes place on a single day, Saturday February 15th, 2003, and
follows the events of middle–aged man, Henry Perowne. Perowne lives a comfortable and
privileged lifestyle. He works a high paying job as a neurosurgeon, owns a nice house, and drives an
expensive car. He is happily married to his wife, Rosalind, and he has two talented children, Daisy
and Theo. Although he seems to live a "perfect" life, he is flawed by being primarily driven by his
rational thoughts. McEwan writes, "Perowne, the profesional reductionist, can't help thinking it's
down to invisible folds...written in code" (272). This mindset limits his capacity to feel and leads
him to a simple way of thinking, which makes him unable to fully connect with his surroundings. In
the novel, he experiences a series of events that makes him question his set way of thinking.
Through his two interactions with a young thug named Baxter, Perowne's rationality is challenged
which ultimately makes him change his perspective on his privileged life by the end of the novel.
Perowne gets into a minor car accident in the morning with a young thug named Baxter, but he
sways himself out of the situation through his ... Show more content on Helpwriting.net ...
The novel ends this way because it shows that even though Perowne is back to his clear thinking, he
has still changed due to his interactions with Baxter, who he calls his "unpickable knot of affliction"
(272). Perowne does not press charges on Baxter because he thinks he has a "diminishing slice of
life worth living" (278), and he asks himself, "Is this forgiveness...or is he the one seeking
forgiveness?" (278). Baxter helped him realize that he can be wrong and does not always have to
have control. If Perowne had not encountered Baxter, he would have not known how lucky he is to
be a neurosurgeon with a privileged

Mobile Cloud Computing : Face Recognition
Mobile Cloud Computing
Face Recognition
Sahil Palvia (sap8231)
Fall, 2014
Advisor: Dr. Minsoek Kwon
Rochester Institute of Technology
Department of Computer Science
Table of Contents
Introduction 3
Background 4
Proposed Solution 5
Design and Implementation 6
Results 12
Conclusions 19
Future Work 20
References 21 Introduction
Every person today uses an Internet–enabled mobile device. Majority of the applications running on
mobile devices transfer their data to cloud servers for processing. The advancements in cloud
technology allow applications to reduce data processing on mobile devices.
The advancement and affordability of mobile devices has resulted in the exponential prevalence of
these devices. Cloud servers ... Show more content on Helpwriting.net ...
Cloudlets are placed between the client application and cloud servers. By leveraging this cloudlet–
based architecture, singular dependency on cloud servers to perform data processing is eliminated.
Further, the computational requirement on the mobile devices can be limited to lightweight
processing by offloading the heavyweight processes to the cloudlets
In this project a cloudlet–based architecture is implemented for a facial recognition application. The
memory usage and time consumption parameters of a cloudlet–based architecture are measured
against client–server architecture. Background
Face recognition applications are computation intensive applications. They try to extract every small
detail from the image provided for accurate face detection and recognition. They are able to

accurately recognize the faces with the results being accurate up to 90% [1]. Accuracy of recognized
objects is a crucial factor. The accuracy of the recognizer depends on the recognition algorithms
implemented. The object needs to be recognized quickly without compromising the level of
accuracy [2].
Mobile devices currently use the cloud servers for processing their data and keep on offloading their
heavyweight processes to the cloud servers. In this case the application waits for server to deliver
the result and suffers

Autobiography of a Face: Lucy Grealy
Autobiography of a Face: Lucy Grealy The psychology of beauty is complex not just because the
concept of beauty is as yet undefined, but also because it is largely true that beauty lies in the eyes of
the beholder or how individuals perceive other people or things. The importance of beauty has been
taught since the first civilizations. It is known that the cave people of the Mesolithic period (around
10,000 B.C.) softened their skin with castor oil and grease, and also used plant dyes to tattoo their
skin. Lipsticks first appeared in the ancient city off Ur, near Babylon, 5000 years ago. Ancient Greek
women painted their cheeks with herbal pastes made from crushed berries and seeds. A dangerous
development of beauty ... Show more content on Helpwriting.net ...
She states "Being different was my cross to bear, but being aware of it was my compensation. When
I was younger, before I'd gotten sick, I'd wanted to be special, to be different. Did this the make me t
he creator of my own situation" (pg101)? It is her appearance, not her illness that changes her view
of herself. Her entire identity becomes her face, and she tells herself over and over, when my face is
fixed, I'll start living. She found happiness and acceptance through her love of horses, working at a
stable and spending time with the animals and the people there, who treated her like anybody else.
But throughout adolescence and into young adulthood Lucy pinned her hopes on each new surgery
as the one that would fix her face and make her beautiful and thus worthy of love.
Anyone who ever felt different or had any kind of physical characteristic or flaw that they were self
conscious about while growing up will relate to Lucy and what she went through. If you were too
tall or too small, had a facial birthmark or a big nose, crooked teeth or frizzy hair or acne, if you
were not beautiful in the traditional sense or were different in any way– you will understand Lucy.
Her profound insight into beauty, and what is beautiful, will hit home with you. It did with me. At
18 she accepted a scholarship at Sarah Lawrence College where Lucy feels she finally develops true

Human Face Expression Capture And Virtualization On Iphone
Human Face Expression Capture and Virtualization on iPhone
Jixian Ma
Abstract–This paper purposes to implement iOS class CIImage into a face detection and human face
expression capture and virtualization. With the front camera on iPhone, we are able take photos and
record real–time videos. We use the front camera on iPhone to capture human face and build a
virtualized face on screen to mimic the real–time expression of the human face in front of the
screen. We create an interesting virtualized face on screen and then evaluate the accuracy of human
face expression capture using camera with the framework CoreImage.
Index Terms–iOS application, face detection, CoreImage framework, human expression capture.
I. BACKGROUND
T
HE ... Show more content on Helpwriting.net ...
1. Process of data transmitting in this software[6]
In order to avoid taking too much time on main thread, we need to build up a buffer that store video
data stream temporarily and then put these image data into face detector to do some image
processing. After that, information that was detected will be transmitted to the first view to control
the movement of that virtualized face. For now, there have been several kinds of face recognition
applications online, however, most of them are used for capturing face when taking photos. There
are also some application to create the illusion of real 3D on iOS devices[8] .There is still no try on
virtualization of human expression application.
II. PROJECT PLAN
A. Subject Searching
During this period, I analyze the possibility of implementing human face expression and decide the
topic of this project. The deadline for searching project topic is October 23rd.
B. Initial Literature Search and Reading
Searching on the relative class reference to use camera on iPhone[7] and reading materials on face
recognition and expression recognition[6]. The deadline for collecting and reading reference
materials is November 5th.
C. Program Work and Result Evaluation
Goal of this period is to complete programming and debugging then figure out the way to optimize

the result. The final aim of this project is to virtualize human expressions on iPhone. Realizing this
function and build up demo for this project.

Communism And Its Effect On Society

Recommended

Recommended

More Related Content

Similar to Communism And Its Effect On Society

Similar to Communism And Its Effect On Society (19)

More from Kristin Oliver

More from Kristin Oliver (20)

Recently uploaded

Recently uploaded (20)

Communism And Its Effect On Society