Neutral face classification using personalized appearance models for fast and robust emotion detection
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methods similar to those presented here. In earlier work, the face position must be centerlight
position; any lighting effect will affect the system. Similarly the eyes of person must be
open and without glass.
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This document describes research on an improved approach for eigenface recognition. The key points are:
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- The methodology involves loading training images, constructing the face space using mean images and eigenvectors, and classifying new images by comparing them to existing face classes.
- Experimental results show the improved eigenface approach provides better performance than existing methods for face recognition.
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Cloud Technologies providing Complete Solution for all
Academic Projects Final Year/Semester Student Projects
For More Details,
Contact:
Mobile:- +91 8121953811,
whatsapp:- +91 8522991105,
Email ID: cloudtechnologiesprojects@gmail.com
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#23/A, 2nd Floor SKS Complex,
Opp. Bus Stand, Karur-639 001.
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MINI-PROJECTS AVAILABLE.
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verifying a person from a digital image or a video frame source. To do this is by comparing
selected facial features from the digital image and a face dataset. It is basically used in
security systems and can be compared to other biometrics such as fingerprint recognition or
eye, iris recognition systems. The main limitation of the current face recognition system is
that they only detect straight faces looking at the camera. Separate versions of the system
could be trained for each head orientation, and the results can be combined using arbitration
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position; any lighting effect will affect the system. Similarly the eyes of person must be
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Human face detection is a significant problem of
image processing and is usually a first step for face
recognition and visual surveillance. This paper presents the
details of face detection approach that is implemented to
achieve accurate face detection in group color images which
are based on facial feature and Support Vector Machine. In
the first step, the proposed approach quickly separates skin
color regions from the background and from non-skin color
regions using YCbCr color space transformation. After the
detection of skin regions, the images are processed with,
wavelet transforms (WT) and discrete cosine transforms
(DCT) as a result of which the 30×30 pixel sub images are
found. These sub images are then assigned to SVM classifier
as an input. The SVM is used to classify non-face regions from
the remaining regions more accurately, that are obtained
from previous steps and having big difference between faces
regions and non-faces regions. The experimental results on
different types of group color images show that this approach
improves the detection speed and minimizes the false
detection rate in less time and detects faces in different color
images.
IRJET- A Review on Various Approaches of Face Recognition
This document reviews various approaches for face recognition. It begins by describing challenges in face recognition related to scale, pose, illumination, and disguise. It then discusses principal component analysis (PCA) and local discriminant analysis (LDA), which are appearance-based approaches, as well as local binary pattern (LBP) and local ternary pattern (LTP), which are texture-based approaches. PCA uses eigenfaces to represent facial features while LDA aims to preserve discriminating information between classes. LBP and LTP extract texture features from facial images for recognition. The document concludes LDA generally provides better accuracy than PCA for whole-face recognition, while LTP performs better than other methods for texture-based recognition as it is more
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Electrical, Electronics and Computer Engineering,
Information Engineering and Technology,
Mechanical, Industrial and Manufacturing Engineering,
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Biotechnology and Bio Engineering,
Environmental Engineering,
Petroleum and Mining Engineering,
Marine and Agriculture engineering,
Aerospace Engineering.
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This document summarizes a research paper that proposes using face recognition with the eigenface approach for security at automated teller machines (ATMs). It discusses how current ATM systems have security issues and the eigenface approach could help with identification. The document outlines the eigenface algorithm methodology and implementation steps. It provides examples of screenshots from a prototype system. In conclusion, it discusses how the system could improve security at ATMs and help identify criminals, while future work may enhance the face recognition performance.
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Happiness Expression Recognition at Different Age Conditions
This document proposes a new robust subspace method called Proposed Euclidean Distance Score Level Fusion (PEDSLF) for recognizing happiness facial expressions with age variations. PEDSLF performs score level fusion of three subspace methods - PCA, ICA, and SVD. It normalizes the scores from each method and takes their maximum value for classification. The method is tested on two databases from FGNET and achieves recognition rates of 81.8% for ages 1-5 training and 10-15 testing, and 72% for ages 20-25 training and 30-35 testing. The results show PEDSLF performs better than the individual subspace methods for facial expression recognition with age variations.
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Contact:
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Email ID: cloudtechnologiesprojects@gmail.com
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#23/A, 2nd Floor SKS Complex,
Opp. Bus Stand, Karur-639 001.
IEEE PROJECTS AVAILABLE,
NON-IEEE PROJECTS AVAILABLE,
APPLICATION BASED PROJECTS AVAILABLE,
MINI-PROJECTS AVAILABLE.
Mobile : 99436 99916, 99436 99926, 99436 99936
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Design of a low voltage low-dropout regulator
This document outlines the sections and contents for a project report on designing a low-voltage low-dropout regulator. It includes sections for an abstract, introduction, literature survey, existing and proposed systems, advantages, requirements, diagrams, implementation, testing, conclusions, and references. Contact information and course offerings are also provided for i3e Technologies.
An efficient constant multiplier architecture based on vertical horizontal bi...
I3E Technologies,
#23/A, 2nd Floor SKS Complex,
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Aging aware reliable multiplier design with adaptive hold logic
I3E Technologies,
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Opp. Bus Stand, Karur-639 001.
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A high performance fir filter architecture for fixed and reconfigurable appli...
I3E Technologies,
#23/A, 2nd Floor SKS Complex,
Opp. Bus Stand, Karur-639 001.
IEEE PROJECTS AVAILABLE,
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APPLICATION BASED PROJECTS AVAILABLE,
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A generalized algorithm and reconfigurable architecture for efficient and sca...
I3E Technologies,
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Opp. Bus Stand, Karur-639 001.
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Mobile : 99436 99916, 99436 99926, 99436 99936
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A combined sdc sdf architecture for normal i o pipelined radix-2 fft
I3E Technologies,
#23/A, 2nd Floor SKS Complex,
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Reverse converter design via parallel prefix adders novel components, method...
I3E Technologies,
#23/A, 2nd Floor SKS Complex,
Opp. Bus Stand, Karur-639 001.
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Mobile : 99436 99916, 99436 99926, 99436 99936
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Pre encoded multipliers based on non-redundant radix-4 signed-digit encoding
I3E Technologies,
#23/A, 2nd Floor SKS Complex,
Opp. Bus Stand, Karur-639 001.
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Mobile : 99436 99916, 99436 99926, 99436 99936
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Energy optimized subthreshold vlsi logic family with unbalanced pull up down ...
I3E Technologies,
#23/A, 2nd Floor SKS Complex,
Opp. Bus Stand, Karur-639 001.
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Mobile : 99436 99916, 99436 99926, 99436 99936
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Variable form carrier-based pwm for boost-voltage motor driver with a charge-...
I3E Technologies,
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Opp. Bus Stand, Karur-639 001.
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Mobile : 99436 99916, 99436 99926, 99436 99936
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Ultrasparse ac link converters
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Single inductor dual-output buck–boost power factor correction converter
I3E Technologies,
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Ripple minimization through harmonic elimination in asymmetric interleaved mu...
I3E Technologies,
#23/A, 2nd Floor SKS Complex,
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Mobile : 99436 99916, 99436 99926, 99436 99936
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Resonance analysis and soft switching design of isolated boost converter with...
I3E Technologies,
#23/A, 2nd Floor SKS Complex,
Opp. Bus Stand, Karur-639 001.
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Reliability evaluation of conventional and interleaved dc–dc boost converters
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Power factor corrected zeta converter based improved power quality switched m...
The document describes a proposed switched mode power supply (SMPS) system that uses a front-end power factor corrected Zeta converter to improve power quality. The front-end converter reduces 100-Hz ripple and improves power factor and voltage regulation. Simulation and testing of a laboratory prototype showed the proposed SMPS enhanced performance under varying input voltages and loading conditions, meeting international power quality standards.
Pfc cuk converter fed bldc motor drive
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Optimized operation of current fed dual active bridge dc dc converter for pv ...
This document discusses optimized operation of a current-fed dual active bridge DC-DC converter for photovoltaic applications. It analyzes the operating principle and soft-switching conditions over a wide operating range with phase shift and duty cycle control. An optimized operating mode is proposed to achieve minimum RMS transformer current and extend the soft-switching region to reduce losses. Experimental results from a 5 kW hardware prototype verify the analysis. Contact and location information is also provided for an organization that develops IEEE software and hardware projects.
Online variable topology type photovoltaic grid-connected inverter
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An efficient constant multiplier architecture based on vertical horizontal bi...
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Aging aware reliable multiplier design with adaptive hold logic
Aging aware reliable multiplier design with adaptive hold logic
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A high performance fir filter architecture for fixed and reconfigurable appli...
A generalized algorithm and reconfigurable architecture for efficient and sca...
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Pre encoded multipliers based on non-redundant radix-4 signed-digit encoding
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This Presentation will give you a brief idea about what Computational Engineering at IIT Hyderabad has to offer.
CHINA’S GEO-ECONOMIC OUTREACH IN CENTRAL ASIAN COUNTRIES AND FUTURE PROSPECT
The rivalry between prominent international actors for dominance over Central Asia's hydrocarbon
reserves and the ancient silk trade route, along with China's diplomatic endeavours in the area, has been
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geopolitical, geostrategic, and geoeconomic variables. Topics including trade, political hegemony, oil
politics, and conventional and nontraditional security are all explored and explained by the researcher.
Using Mackinder's Heartland, Spykman Rimland, and Hegemonic Stability theories, examines China's role
in Central Asia. This study adheres to the empirical epistemological method and has taken care of
objectivity. This study analyze primary and secondary research documents critically to elaborate role of
china’s geo economic outreach in central Asian countries and its future prospect. China is thriving in trade,
pipeline politics, and winning states, according to this study, thanks to important instruments like the
Shanghai Cooperation Organisation and the Belt and Road Economic Initiative. According to this study,
China is seeing significant success in commerce, pipeline politics, and gaining influence on other
governments. This success may be attributed to the effective utilisation of key tools such as the Shanghai
Cooperation Organisation and the Belt and Road Economic Initiative.
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4. Mosca vol I -Fisica-Tipler-5ta-Edicion-Vol-1.pdf
Neutral face classification using personalized appearance models for fast and robust emotion detection
- 1. NEUTRAL FACE CLASSIFICATION USING PERSONALIZED APPEARANCE MODELS FOR FAST AND ROBUST EMOTION DETECTION ABSTRACT Facial expression recognition is one of the openproblems in computer vision. Robust neutral face recognition inreal time is a major challenge for various supervised learningbased facial expression recognition methods. This is due to thefact that supervised methods cannot accommodate allappearance variability across the faces with respect to race, pose,lighting, facial biases, etc. in the limited amount of training data.Moreover, processing each and every frame to classify emotionsis not required, as user stays neutral for majority of the time inusual applications like video chat or photo album/web browsing.Detecting neutral state at an early stage, thereby bypassing thoseframes from emotion classification would save thecomputational power. In this work, we propose a light-weightneutral vs. emotion classification engine, which acts as a pre-processerto the traditional supervised emotion classificationapproaches. It dynamically learns neutral appearance at KeyEmotion (KE) points using a textural statistical model,constructed by a set of reference neutral frames for each user.The proposed method is made robust to various types of userhead motions by accounting for affine distortions based on a textural statistical model. Robustness to dynamic shift of KEpoints is achieved by evaluating the similarities on a subset ofneighborhood patches around each KE point using the prior information regarding the directionality of specific facial actionunits acting on the respective KE point. The proposed method,as a result, improves ER accuracy and simultaneously reducescomputational complexity of ER system, as validated onmultiple databases.