The document discusses how vision works by summarizing key points from a class lecture on the topic. It explains that vision is an active process constructed by the brain based on signals from the eyes, rather than a direct transmission of an "image" from eyes to brain. The eye converts light to electrical signals that are processed separately for shape, color, and motion/depth in the visual cortex before being integrated into a coherent visual field. The perception of depth, movement and spatial relationships comes from inferences based on contrasts in light intensity rather than direct visual data. Optical illusions demonstrate how vision involves ambiguous interpretations.
In this class we look closely at Wang Shu's Ningbo History Museum, 2008. and discuss different understandings of the relationship between present and past.
In this module we focus on what is known as the "institutional theory of art." In this view, art status is not a characteristic of the object itself, but of the institutional supports that surround and support it as such.
In this class we discuss the fact that the "New York Five" is largely a misnomer, grouping architects who are rather diverse, particularly with respect to their fidelity to the modernist tradition.
In this class we consider the influential career of Walter Gropius, along with a discussion of the architecture, curriculum and student life at the Bauhaus.
In this class we discuss the role of the eye and brain in creating the visual world that we perceive, with special attention to the implications for art.
Identify objects based on modeling the human visual system, as an effective method in intelligent identification, has attracted the attention of many researchers.Although the machines have high computational speed but are very weak as compared to humans in terms of diagnosis. Experience has shown that in many areas of image processing, algorithms that have biological backing had more simplicity and better performance. The human visual system, first select the main parts of the image which is provided by the visual featured model, then pays to object recognition which is a hierarchical operations according to this, HMAX model is also provided. HMAX object recognition model from the group of hierarchical models without feedback that its structure and parameters selected based on biological characteristics of the visual cortex. This model is a hierarchical model neural network with four layers, is composed of alternating layers that are simple and complex. Due to the high complexity of the human visual system is virtually impossible to replicate it. For each of the above, separate models have been proposed but in the human visual system, this operation is performed seamlessly, thus, by combining the principles of these models is expected to be closer to the human visual system and obtain a higher recognition rate. In this paper, we introduce an architecture to classify images based on a combination of previous work is based on the basic operation of the visual cortex. According to the results presented, the proposed model compared with the main HMAX model has a much higher recognition rate. Simulations was performed on the database of Caltech101.
In this class we look closely at Wang Shu's Ningbo History Museum, 2008. and discuss different understandings of the relationship between present and past.
In this module we focus on what is known as the "institutional theory of art." In this view, art status is not a characteristic of the object itself, but of the institutional supports that surround and support it as such.
In this class we discuss the fact that the "New York Five" is largely a misnomer, grouping architects who are rather diverse, particularly with respect to their fidelity to the modernist tradition.
In this class we consider the influential career of Walter Gropius, along with a discussion of the architecture, curriculum and student life at the Bauhaus.
In this class we discuss the role of the eye and brain in creating the visual world that we perceive, with special attention to the implications for art.
Identify objects based on modeling the human visual system, as an effective method in intelligent identification, has attracted the attention of many researchers.Although the machines have high computational speed but are very weak as compared to humans in terms of diagnosis. Experience has shown that in many areas of image processing, algorithms that have biological backing had more simplicity and better performance. The human visual system, first select the main parts of the image which is provided by the visual featured model, then pays to object recognition which is a hierarchical operations according to this, HMAX model is also provided. HMAX object recognition model from the group of hierarchical models without feedback that its structure and parameters selected based on biological characteristics of the visual cortex. This model is a hierarchical model neural network with four layers, is composed of alternating layers that are simple and complex. Due to the high complexity of the human visual system is virtually impossible to replicate it. For each of the above, separate models have been proposed but in the human visual system, this operation is performed seamlessly, thus, by combining the principles of these models is expected to be closer to the human visual system and obtain a higher recognition rate. In this paper, we introduce an architecture to classify images based on a combination of previous work is based on the basic operation of the visual cortex. According to the results presented, the proposed model compared with the main HMAX model has a much higher recognition rate. Simulations was performed on the database of Caltech101.
Identify objects based on modeling the human visual system, as an effective method in intelligent identification, has attracted the attention of many researchers.Although the machines have high computational speed but are very weak as compared to humans in terms of diagnosis. Experience has shown that in many areas of image processing, algorithms that have biological backing had more simplicity and better performance. The human visual system, first select the main parts of the image which is provided by the visual featured model, then pays to object recognition which is a hierarchical operations according to this, HMAX model is also provided. HMAX object recognition model from the group of hierarchical models without feedback that its structure and parameters selected based on biological characteristics of the visual cortex. This model is a hierarchical model neural network with four layers, is composed of alternating layers that are simple and complex. Due to the high complexity of the human visual system is virtually impossible to replicate it. For each of the above, separate models have been proposed but in the human visual system, this operation is performed seamlessly, thus, by combining the principles of these models is expected to be closer to the human visual system and obtain a higher recognition rate. In this paper, we introduce an architecture to classify images based on a combination of previous work is based on the basic operation of the visual cortex. According to the results presented, the proposed model compared with the main HMAX model has a much higher recognition rate. Simulations was performed on the database of Caltech101.
Brain mapping can capture a window of brain activity. The brain is a multi-billion neuron organ. Neurons communicate with every cell in your body. It is carried by electrical impulses that form brain waves. This application helps us analyze your brainwaves and find ways to improve communication across different brain regions.
The relationship between artificial intelligence and psychological theoriesEr. rahul abhishek
Psychology is one of the parent elements of artificial
intelligence or we can also say that it is the main source for
artificial intelligence. In this paper we are discussing about the
theories of psychology used in AI. Since psychology is the study
of human brain and its nature and AI is the branch which deals
with the intelligence in machine, so for understanding the
intelligence of a machine we have to compare with human
intelligence because AI means the intelligence shown by a
machine like a human being.
The visual pathway/visual system is the part of central nervous system which gives organisms the ability to process visual detail , as well as enabling the formation of several non-image photo response functions.
It detects interprets information from visible light to build a representation of the surrounding environment .
The visual system carries out a number of complex tasks , including the reception of light and the formation of monocular representations; the buildup of a nuclear binocular perception from a pair of two dimensional projections ; the identification and categorization of visual objects ; assessing distances to and between objects and guiding body movements in relation to the objects seen.
2024.06.01 Introducing a competency framework for languag learning materials ...Sandy Millin
http://sandymillin.wordpress.com/iateflwebinar2024
Published classroom materials form the basis of syllabuses, drive teacher professional development, and have a potentially huge influence on learners, teachers and education systems. All teachers also create their own materials, whether a few sentences on a blackboard, a highly-structured fully-realised online course, or anything in between. Despite this, the knowledge and skills needed to create effective language learning materials are rarely part of teacher training, and are mostly learnt by trial and error.
Knowledge and skills frameworks, generally called competency frameworks, for ELT teachers, trainers and managers have existed for a few years now. However, until I created one for my MA dissertation, there wasn’t one drawing together what we need to know and do to be able to effectively produce language learning materials.
This webinar will introduce you to my framework, highlighting the key competencies I identified from my research. It will also show how anybody involved in language teaching (any language, not just English!), teacher training, managing schools or developing language learning materials can benefit from using the framework.
The Art Pastor's Guide to Sabbath | Steve ThomasonSteve Thomason
What is the purpose of the Sabbath Law in the Torah. It is interesting to compare how the context of the law shifts from Exodus to Deuteronomy. Who gets to rest, and why?
Synthetic Fiber Construction in lab .pptxPavel ( NSTU)
Synthetic fiber production is a fascinating and complex field that blends chemistry, engineering, and environmental science. By understanding these aspects, students can gain a comprehensive view of synthetic fiber production, its impact on society and the environment, and the potential for future innovations. Synthetic fibers play a crucial role in modern society, impacting various aspects of daily life, industry, and the environment. ynthetic fibers are integral to modern life, offering a range of benefits from cost-effectiveness and versatility to innovative applications and performance characteristics. While they pose environmental challenges, ongoing research and development aim to create more sustainable and eco-friendly alternatives. Understanding the importance of synthetic fibers helps in appreciating their role in the economy, industry, and daily life, while also emphasizing the need for sustainable practices and innovation.
Palestine last event orientationfvgnh .pptxRaedMohamed3
An EFL lesson about the current events in Palestine. It is intended to be for intermediate students who wish to increase their listening skills through a short lesson in power point.
Operation “Blue Star” is the only event in the history of Independent India where the state went into war with its own people. Even after about 40 years it is not clear if it was culmination of states anger over people of the region, a political game of power or start of dictatorial chapter in the democratic setup.
The people of Punjab felt alienated from main stream due to denial of their just demands during a long democratic struggle since independence. As it happen all over the word, it led to militant struggle with great loss of lives of military, police and civilian personnel. Killing of Indira Gandhi and massacre of innocent Sikhs in Delhi and other India cities was also associated with this movement.
Read| The latest issue of The Challenger is here! We are thrilled to announce that our school paper has qualified for the NATIONAL SCHOOLS PRESS CONFERENCE (NSPC) 2024. Thank you for your unwavering support and trust. Dive into the stories that made us stand out!
How to Create Map Views in the Odoo 17 ERPCeline George
The map views are useful for providing a geographical representation of data. They allow users to visualize and analyze the data in a more intuitive manner.
Ethnobotany and Ethnopharmacology:
Ethnobotany in herbal drug evaluation,
Impact of Ethnobotany in traditional medicine,
New development in herbals,
Bio-prospecting tools for drug discovery,
Role of Ethnopharmacology in drug evaluation,
Reverse Pharmacology.
Unit 8 - Information and Communication Technology (Paper I).pdfThiyagu K
This slides describes the basic concepts of ICT, basics of Email, Emerging Technology and Digital Initiatives in Education. This presentations aligns with the UGC Paper I syllabus.
How to Make a Field invisible in Odoo 17Celine George
It is possible to hide or invisible some fields in odoo. Commonly using “invisible” attribute in the field definition to invisible the fields. This slide will show how to make a field invisible in odoo 17.
2. agenda 9.1.15
• function of the eye
• how eye and brain work together to create vision
• the active, constructed nature of vision
3. In general in this course, we are interested not
in the “nature” of vision, but in its culture; in
other words, how humans have developed
languages of visual communication given
our status as sighted creatures.
4. So this session is a bit
of a departure.
Today we study the eye, the brain
and the dynamic process of visual
perception, to understand how our
perception works.
5. schematic diagram of how vision works
(please note: this diagram is WRONG)
Most people assume that vision works as pictured in the diagram
below.
Put in words: our vision is just what our eye sees and reports to the
brain.
6. why is the eye/camera
idea wrong?
There is no “image,” no picture in the
eye at all.
In the eye, light admitted through the pupil and
focused through the lens differentially stimulates the
neuron-rich tissue at the back of the eye (the retina),
sending patterns of electrical impulses to the brain
(specifically to the visual cortex), where the signals must
be processed and interpreted to create what we see.
7. “the eye is like a camera”
This analogy holds up to a point.
The point at which it no longer holds
is the retina.
Please note: this diagram is TRUE up to a
point and then becomes FALSE.
8.
9. what happens in the retina?
Light is converted to an electrical signal in retinal
photoreceptors via a light-sensitive protein called rhodopsin
Transduction is the process by which electrical impulses are
converted to chemical form. This occurs differently in rods
and cones.
The signalling mechanism is quite sophisticated. It optimizes
the information transmitted from the retina by using
“inhibition” to reduce the signal in certain areas (thus
boosting the rest).
10. cones: large range of intensities, color vision, work
quickly, very sensitive to small changes,
concentrated in center
rods: evolutionarily more recent, but outnumber
cones 20 to only work in very low light, evenly
distributed across the retina
11. these signals are transmitted via the optic nerve to
the primary visual cortex
12. what happens in the
visual cortex?
This is where matters get really complicated!
There is evidence that there are THREE separate systems
that process these signals.
13. animal and human evidence
for 3 discrete processing
systems
“Although the visual processing mechanisms are not yet
completely understood, recent findings from anatomical
and physiological studies in monkeys suggest that visual
signals are fed into at least three separate processing
systems. One system appears to process information
mainly about shape; a second, mainly about color; and a
third, movement, location, and spatial organization.”
Human psychological studies support the findings
obtained through animal research. These studies show that
the perception of movement, depth, perspective, the
relative size of objects, the relative movement of objects,
shading, and gradations in texture all depend primarily on
contrasts in light intensity rather than on color.”
SOURCE: http://www.brainfacts.org/sensing-thinking-behaving/senses-and-
perception/articles/2012/vision-processing-information/
14. Please note: this diagram is still a bit misleading, but it’s a whole lot better than
the previous one.
15. This provides an explanation for why black and white
drawings appear every bit as convincing in their
illusion of space as color drawings.
16.
17.
18.
19.
20.
21.
22.
23. in the third system
(depth/location/movement
)
“About 60 years ago, scientists discovered that each vision
cell’s receptive field is activated when light hits a tiny
region in the center of the field and inhibited when light
hits the area surrounding the center. If light covers the
entire receptive field, the cell responds weakly.”
Another way to put this is: “the visual process begins
by comparing the amount of light striking any small
region of the retina with the amount of surrounding
light.”
This process is enhanced by “lateral inhibition,” in
which all but the strongest signals are filtered out by
the retina before even reaching the brain.
(Preference for edges.)
http://www.brainfacts.org/sensing-thinking-behaving/senses-and-
perception/articles/2012/vision-processing-information/
24. John Singleton COPLEY
Mrs. Ezekiel Goldthwaite
1771
oil on canvas
50 1/8 x 40 1/8 inches
http://www.mfa.org/collecti
ons/object/mrs-ezekiel-
goldthwait-elizabeth-lewis-
32756
This human perceptual
preference for “edges”—
areas of high contrast
between
light and shadow—is also
exploited by artists wanting to
create convincing three-
dimensional illusions in their
two-
dimensional art.
25.
26. how is color/brightness processed? (this appears to
be an independent pathway)
how are form/shape processed to produce object
recognition?
how are motion, depth, and spatial relations
processed?
when and how are all of these coordinated?
27. object recognition
Humans are capable of instantly recognizing people
and objects in visually cluttered scenes.
Machines cannot do this, yet.
What can machines do? Current research on
software teaching scene recognition.
36. summary
The brain constructs your field of vision from electrico-
chemical impulses sent by your eyes.
The eye collects data on:
shape
color
position/location/movement
These elements seem to be processed via discrete
mechanisms in the visual cortex and coordinated into a
coherent visual field.
37. The raw data entering the third system has to do with
differences in light intensity. These signals are enhanced by
the retina through the process of lateral inhibition and are
subsequently interpreted by the visual cortex to produce
our field of vision, which we experience as continuous and
compelling rather than as a series of approximations of
distance, size and depth via contrasts between light and
shadow.
38. Our ability to, judge distance, move through space,
avoid obstacles,—these are all INFERENCES drawn
from information about contrasts between light
intensity rather than actual visual data—even though
we perceive them as properties of our vision.
This is ANOTHER REASON why the eye/camera idea is
completely misleading.
39. The eye adjusts for relative brightness/darkness and
motion stabilization.
40. try these at home!
http://serendip.brynmawr.edu/bb/blindspot1.html
http://serendip.brynmawr.edu/bb/blindspot/
http://serendip.brynmawr.edu/bb/latinhib.html
http://dragon.uml.edu/psych/illusion.html