Object Perception Theories Flashcards

Wk5 L2 - Wk6 L1 Set 8

1
Q

Limitations of Gestalt Theories

A
  • qualitative/descriptive: not based on normative systems, provides descriptions of how the perceptual system functions, but does not say WHY or HOW
  • is not quantitative
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2
Q

Theory of Relatability

A

more quanitative

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3
Q

Theory of Non-accidental features

A

junctions

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4
Q

Theory of Geons

A

???

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5
Q

The visual system connects spatially separated visible

areas using what two processes:

A

contour interpolation

surface interpolation

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6
Q

Contour interpolation

A

if there is a missing edge, the brain must fill it in

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7
Q

Surface interpolation

A

if there is a part of an object missing due to occlusion, the brain must fill in the surface to perceive a complete object

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8
Q

What are the steps to the contour interpolation process?

A

1) Begins with the locating of contour junctions
2) Interpolated edges begin and end at these junctions
3) Contour interpolation follows a smoothness constraint, known as contour relatability

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9
Q

Theory of relatability

A

What extent of curviness or angle is tolerated by the visual system in the process of interpolation

(same object vs different objects)

Too large an angle –> un-relatable
Acceptable angle –> relatable

NOTE: relatability is related to the gestalt idea of “good
continuation”

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10
Q

What are the steps to surface interpolation?

A

1) The contour interpolation process depends on oriented edges leading into junctions
2) The surface process complements contour interpolation
3) Surface properties “spread” under occlusion within real and interpolated boundaries
4) This process depends crucially on matches of color, lightness, and texture

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11
Q

Whether we form a unit or not depends on…

A

surface properties AND contour properties

*example: color differences violates relatability, sharp angle violates relatability

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12
Q

Shape perception is invariant to…

A
Scale invariance (size)
Orientation invariance
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13
Q

Template representation of shapes

A

*any pattern that would fit the template ‘x’
would be recognized as ‘x’.
* template is specific to orientation in
plane, orientation in depth, size, location,
etc.

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14
Q

Problem with template representation

A

you would need billions of templates for each object, because it would always require the same activation of the same neurons for each template (x-invariant)

example: could not recognize the letter A in different positions, scales, orientations, viewpoints, etc

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15
Q

Volumetric/Structural representation of shapes

A
  • ideal way of representing objects, because it is 3D and thus takes care of the invariances
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16
Q

Examples of volumetric theories

A

Polyhedra
Superquadratics
Generalized cylinders
Geons

17
Q

Recognition by Components (RBC) is better known as

A

Geon Theory

18
Q

Geon Theory

A

the visual system represent objects by their geometric icons (geons) and the spatial relationships between them, metric changes are not important (width/height, etc)

  • strengths: provides invariance, by combining geons you could create thousands of shapes
  • visual system finds non-accidental features, then extracts structural (or geon) description
19
Q

How many geons are there in the brain?

A

About 36

20
Q

What is another word for a geon?

A

volumetric primitive

21
Q

Evidence for geon theory

A

If the non-accidental features (e.g., corners) are available, geons can be recovered and the object can be recognized.

If the same amount of contour is available but the non-accidental features are missing, the geons cannot be recovered and object recognition will be more difficult.

22
Q

Invariance in geon theory

A
  • Scale (size) invariant
  • Position invariant
  • Rotation (view-point) invariant
23
Q

Problems with geon theory

A
  • not good for describing natural/non-manmade objects
  • not good for within-category recognition
  • ## human representation is view-based, and not invariant
24
Q

What is another more simple adaptation of a structural or geon theory?

A

concavities

25
Q

Examples of View-point Object Representation Theories

A
  • Templates
  • Graphs
  • Feature sets
26
Q

Elastic Graph Representation

A

each node represents a local feature (hypercolumn in v1), edges are connections between the hypercolumns (synaptic)
local features combined with spatial relationships between them considered a graph

27
Q

Invariance in Elastic Graph

A
  • position invariant
  • somewhat orientation invariant
  • somewhat scale invariant
  • viewpoint robust
28
Q

Feature-set Representation

A
  • selective neurons are filters sensitive to specific features
  • the retinal image gets processed in parallel
  • if the right set of signals gets activated, signals an object classifier and we recognize it in different views
29
Q

Strengths and weaknesses of feature-set representation

A

strength: very fast recognition
weakness: ignores spatial relationships, so system could be easily fooled to falsely recognize something