perceiving and recognizing objects Flashcards

1
Q

Orientation selectivity

A

Cells are tuned to detect lines in a specific orientation

Max to vertical contour

Fire less if tilted another way

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2
Q

receptive fields in the striate cortex

A

cells in the striate cortex respond best to bars of light (edges, lines of specific orientation, motion and size) , rather than to spots of light (which is what the retina and LGN prefer)

interested in the basic features of visual image

the pattern of illumination (or contrast), not the overall light level, is the primary concern of the visual system.

combining info to get more complicated info

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3
Q

Border ownership

A

when one object is in front of another There will be a visual border formed between the object and the background.

That border is “owned” by the object.

It is the edge of the object, not a property of the background

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4
Q

Extra striate cortex

A

Region of the cortex bordering the primary visual cortex and containing multiple areas involved in visual processing

Beyond VI

Just lies outside primary visual (striate) cortex

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5
Q

Receptive field properties

A

Stimulus (bar) length

Orientation

Width (spatial frequency)

Direction of movement

Colour

Ocular dominance
- Cortical neurons respond to both eyes but have a preferred eye (respond more to one eye than the other)

stimulus (bar length)

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6
Q

End stopping

A

neuron fires less if a bar does
not reach the outside edge of the receptive field or extends beyond the receptive field

Specific to bars of specific length

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7
Q

Contours

A

sudden transitions in an image
(luminance, colour)

hue can produce contour

the basic elements of visual perception

Without them, we would not see anything (Ganzfeld)

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8
Q

how do you find the edges of objects?

A

the receptive fields of cells in the primary visual cortex are too small

we are only picking up some - neurons only sensitive to picking up a small area

if we are going by the idea of contours the would have to touch to be the same object (house example of the snowman and car being apart of the house, but the windows are not) - so it is more complicated than this

lack of edge does not bother the visual system

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9
Q

Ganzfeld

A

People report being blind

Featureless environments

Happens to pilots when they go into a cloud

Snow blindness for skiers

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10
Q

Middle Vision

A

A loosely defined stage of visual
processing that comes after basic features have been extracted from the image (low-level vision) and before object recognition and scene understanding (high-level vision)

Involves the perception of edges and surfaces

Determines which regions of an image should be grouped together into objects

matching what we perceive with a memory—of something perceived in the past

organize elements of a visual scene into groups we can recognize as objects

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11
Q

Illusory contour

A

a contour that is perceived even
though nothing changes from one side of the contour to the other

People report seeing something not actually in the image (black is what’s actually seen) but will report seeing arrow

Contour not present, just something we are creating

People try to simply their environment

a line or edge we percieve even though it is not actually there

sometimes our brains fill in gaps to complete an image

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12
Q

Occulusion

A

notches In the circle seem to be supporting horizontal contour - arrangement of notches may imply that they are a part of a bigger scene

happens when one object obstructs or overlaps an object in the visual scene

our brain uses this so that we can interpret that the overlapping object is in front of the other one

depth cue

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13
Q

Structuralism

A

a school of thought believing that
complex objects could be
understood by analysis of
the components

Argued that perceptions are the sum of atoms of sensation – bits of colour, orientation, and so forth

Perception is built up of local sensations

Challenged by illusory contours

An extended edge is seen bridging a gap where
no local atom of “edgeness” can be found

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14
Q

Gestalt school

A

a school of thought stressing that
the perceptual whole could be greater than the apparent sum of the parts

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15
Q

Proximity

A

items that are near each other tend to group

Because they are closer together

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16
Q

Similarity

A

similar looking items tend to group

Colour, size, orientation, aspects of form

Conjunctions (combinations) of features do not work well

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17
Q

Texture segmentation

A

carving an image into regions of common texture properties

No hard contours dividing the regions

Divides images into half.border

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18
Q

Good continuation

A

a Gestalt grouping rule stating
that there is a tendency to perceive a line as continuing in its established direction

If two contours are close and collinear they are likely to come from the same contour

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19
Q

Closure

A

a Gestalt principle that holds that a closed contour is preferred to an open contour

The mind tends to fill in gaps in a visual image to perceive it as a whole. This means that if a shape is partially obscured or incomplete, we will still perceive it as a complete object.

Example: If you see a circle that is broken in a few places, your brain will interpret it as a complete circle rather than as separate segments.

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20
Q

Parallelism

A

parallel contours are likely to belong to the same group

regions with parallel contours are more likely to be seen as figure

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21
Q

Symmetry

A

symmetrical regions are more likely to be seen as a group

a symmetrical region is more likely to be seen as figure

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22
Q

Common region

A

items will group if they appear to
be part of the same larger region

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23
Q

Connectedness

A

items will tend to group if they are
connected

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24
Q

common fate

A

elements that move in the same direction tend to group together

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25
synchrony
elements that change at the same time tend to group together
26
Pragnanz
people will perceive and interpret ambiguous or complex images as the simplest form(s) possible The most fundamental principle of Gestalt aka: Good Figure, Simplicity
27
Ambiguous figure
a visual stimulus that gives rise to two or more interpretations of its identity or structure Interpretate things depending Every image is, in theory, ambiguous, but the perceptual committees almost always agree on a single interpretation…
28
Necker cube
an outline that is perceptually bi-stable two interpretations continually battle for perceptual dominance We can entertain either version
29
Figure-ground assignment
the process of determining that some regions of an image belong to a foreground object (figure) and other regions are part of the background (ground) One of the reasons a figure is ambiguous
30
Surroundedness
a rule for figure-ground assignment stating that if one region is entirely surrounded by another, it is likely that the surrounded region is the figure
31
Size
the smaller region is likely to be figure
32
Relative motion
how surface details move relative to an edge can also determine which portion of a display is the foreground figure and which is the background If one region moves in front of another, then the closer region is figure
33
Extremal edges
if edges of an object are shaded such that they seem to recede in the distance, they tend to be seen as figure
34
Relatability
Degree to which two line segments appear to part of the same contour
35
Non accidental feature
A feature of an object that is not dependent on the exact (or accidental) viewing position of the viewer
36
Global superiority effect
the finding in various experiments that the properties of the whole object take precedence over the properties of parts of the object Carve the retinal image into large-scale objects
37
Accidental viewpoint
a viewing position that produces some regularity in the visual image that is not present in the world Perceptual committees assume viewpoints are not accidental Slight shift in viewpoints Ie/ leaning tower of Pisa from different angle wouldn’t look leaning
38
Dazzle camouflage
not to conceal but rather to make it difficult to identify as well as its range, speed and heading
39
Structural discription
a description of an object in terms of the nature of its constituent parts and the relationships between those parts E.g., capital A: two flanking lines meet and a third line spans the angle created by those two lines Many versions of structural-description hypotheses have been proposed…
40
Problem with templates
Need a lot to recognize same object in all forms and orientation
41
Recognition-by-components model
Biederman’s model of object recognition, which holds that objects are recognized by the identities and relationships of their component parts A version of a structural description hypothesis Proposed that a set of geons (“geometric ions”) are combined to build perceptual objects Visual system should be able to an object on basis of relationship to geons The finite set of geons (~36) can be used to construct a very large number of object representations Real object recognition is not viewpoint dependent
42
structural description
Structural description: a description of an object in terms of the nature of its constituent parts and the relationships between those parts ▪ E.g., capital A: two flanking lines meet and a third line spans the angle created by those two lines ▪ Many versions of structural-description hypotheses have been proposed
43
Entry-level category
for an object, the label that comes to mind most quickly when we identify the object Ie/ bird
44
Subordinate-level category
a more specific term for an object Ie/ eagle
45
Superordinate-level category
a more general term for an object Ie/ animal More broad
46
Five Principles of middle vision
1) Bring together that which should be brought together Gestalt grouping principles (e.g., similarity, proximity, etc.) The processes that complete contours and objects even when they are partially hidden behind occluders (e.g., the relatability heuristic) 2) Split asunder that which should be split asunder Edge-finding processes Figure-ground mechanisms Texture segmentation 3) Use what you know Implicit knowledge of the physics of image formation 4) Avoid accidents Avoid interpretations that require the assumptions of highly specific, accidental combinations of features or accidental viewpoints 5) Seek consensus and avoid ambiguity Using the “perceptual committees”, eliminate all but one of the multiple possibilities to deliver a single solution/perception
47
Overarching goal of the visual system
The visual system is trying to make sense of the vast and often ambiguous and noisy inputs from the early stage of visual processing
48
Camouflage
Animals exploit Gestalt grouping principles to blend (or group) into their surroundings Art of getting your features to group with the features of the environment Same principles helping us to find, also used to hide them
49
Familiarity
things that form patterns that are familiar or meaningful are likely to be grouped together Ie/ faces
50
Gestalt grouping rules
a set of rules describing which elements in an image will appear to group together Describes retinals raw image Reflect regularities in the world
51
Perceptual “Committees”
A host of rules, principles, and good guesses contribute to our organized perception of the world Committees must integrate conflicting opinions and reach a consensus Perception results from the consensus that emerges
52
Texture Segregatio
Segregation can occur based on shape, orientation, colour, motion, etc. Segregation can occur based on shape, orientation, colour, motion, etc. Segregation does NOT occur based on conjunctions (combinations) of features
53
Computer vision
Computer-based edge detectors are not as good as humans Sometimes computers do not find edges that humans see easily (e.g., illusory contours) Sometimes computers find too many edges Where is there a sudden transition
54
Naïve template theory
the proposal that the visual system recognizes objects by matching the neural representation of the image with a stored representation of the same “shape” in the brain The idea that we recognize objects by matching every pixel or every low-level feature of the input to a representation in memory Like a lock and key Will not work Too many templates are required
55
Prosopagnosia
an inability to recognize faces May be able to recognize an object as a face but will not know who the person might be May know it’s a face and that they are angry Typically injury to nervous system
56
congenital prosopagnosia
form of face blindness present from birth
57
holistic processing
Process based on analysis of entire object or scene, not adding together a set of smaller parts or features Process friends face as complex, not just as eye
58
Feedback and Re-entrant Processing
Perception and neural processing, more generally, is a two-way street involving feedback and re-entrant processing Precision is probably achieved by going down the pathway, once you have some information about the object, and interrogating earlier visual areas about the details of this instance of the object We recognize the parts with information from the context of the whole, and we recognize the whole with information about the parts. Perception typically proceeds in both the bottom-up and top-down directions at the same time
59
Where pathways
Dorsal, into parietal lobe Location of objects in space Actions required to interact with them (moving hands/eyes) Deployment of attention
60
What pathways
Ventral, into temporal lobe Receptive fields get bigger into temporal lobe
61
Lesion
Region of damaged brain To destroy section of brain
62
Agnosia
A failure to recognize objects, in spite of being able to see them Ability to see without recognizing Typically due to brain damage Psychic blindness
63
Homologous regions
Brain regions that appear to have the same function in different species Regions of extrastriate cortex
64
Fusiform Face Area (FFA)
Activated by human faces
65
Extrastriate body area (EBA)
Activated by images of the body other than face
66
Parahippocampal Place Area (PPA)
Activated by images of places than by other stimuli. Like rooms with furniture
67
Visual word form area (VWFA)
Activated by images of written words
68
Feed forward process
Process carries out a computation one neural step after another without the need for feedback or a later—earlier stage
69
Reverse hierarchy theory
Argues feed forward processes give you a general, categorical impression of the work, but not details
70
Bayesian Approach
Prior probability— how likely consistent with hypothesis
71
Subtraction method
Showing brain activity measured in two conditions, one with involvement of mental process of interests and one without Difference between the two will show regions of brain specifically activated
72
Decoding
Determines nature of stimulus from pattern of responses measured
73
what are the refractory components of the eye
cornea, aqueous humour, lens , vitreous humour
74
dorsal pathway
where pathway heading toward parietal lobev
75
ventral pathway
what pathway heading toward temporal lobe
76
what are the three areas that gestalt school investigates
laws of grouping the "goodness" of figures figure-ground relationships
77
overarching goal of the visual system
the visual system is trying to make sense of the vast and often ambiguous and noisy inputs from the early stage of visual processing
78
the pandemonium model
simple model of letter recognitions demons loosely represent neurons each level is like a different brain area feature demon, cognitive demons and decision demon
79
feature demons
oriented lines and curves that respond to the letter
80
cognitive demons
letter features ie/ if the letter is A (H and X have some features of this letter)
81
decision demon
pool info from other demons and chose the loudest demon as the answer
82
viewpoint invariance
a property of an object that does not change when observer viewpoint changes a class of theories of object recognition that proposes representations of object that do not change when viewpoint changes
83
advantage over templates
if we can derive the same structural description from any encounter with the object then we need to store only one representation of the object in memory
84
problems with evaluation of structural description theories
Problems: ▪ Object perception is not completely viewpoint invariant ▪ E.g., the farther an object is rotated away from a learned view, the longer it takes to recognize ▪ Geons (or any of the other “alphabets” of structural-description models) do not always provide adequate descriptions of objects ▪ E.g., book vs cigar box ▪ A structural description would have to be just a part of the answer to the problem of object recognition, not the whole solution
85
recognition by committees
object recognition is not a single process there may be several object recognition processes depending on the category level entry level subordinate-level superordinate-level