3. Object Recognition Flashcards

1
Q

Why is object recognition difficult (2 reasons)

A
  • objects overlap but form coherent perceptual experience

- retinal image varies but size and shape of object doesn’t

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2
Q

Challenges of object recognition: variability on the retinal image

A

translation, rotation, size, colour

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3
Q

Challenges of object recognition: Variability of a visual scene

A

occlusion and presence of other objects

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4
Q

challenges of object recognition: intra-class variation

A

an object is still identified as such despite it being a different shape, colour, design (features). Eg diff types of chair. Can also be recognised when partially hidden.

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5
Q

Challenges of object recognition: viewpoint variation

A

can identify objects regardless of what view were seeing them from

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6
Q

2D pattern matching theory: template theories

A
  • template in LTM of all known patterns. Can have multiple templates and compare for greatest overlap
  • eg barcodes and fingerprints
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7
Q

Issues with template theory

A

imperfect matches and not accounting for flexibility of pattern recognition system (need to be identical orientation, size, position etc)

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8
Q

2D pattern matching: prototype theories

A
  • more flexible templates
  • process the average of characteristics
  • no perfect match
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9
Q

Evidence for prototype theory pattern matching

A

Franks and Bransford 1971: presented object based on a prototype, Ps were confident they’d seen the prototype before seeing the images that made the average prototype

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10
Q

2D pattern matching: feature theories: what is it and a limitation

A
  • pattern has set of features/attributes
  • must know the relationship between the features
  • too many objects for this to be the only mechanisms
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11
Q

2D pattern matching: structural descriptions

A
  • a breakdown of the pattern and relationship between it’s features
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12
Q

3D object recognition

A

comprised of early image processing: objects separated from background. segregated from each other and then matched to object description in memory

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13
Q

Marr and Nishihara 1978: 3D object recognition theory

A
  • the relationship between objects made up of cylinders is it’s structural description
  • not possible for all objects, good for biological things
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14
Q

3D object recognition: Biederman’s recognition by components theory

A
  • objects composed of geons (geometrical ions)
  • 36 diff volumetric shapes
  • concave parts of object can help segment image into separate geons
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15
Q

This theory is viewpoint invariant

A

Recognition by Components theory (Biedermans geons)

Marr and nishiharas cylinders

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16
Q

Properties to decide what geons make up an image (5)

A

Curvature, parallel, co-termination, symmetry, collinearity

17
Q

Evidence for recognition by components theory: concavity (Biederman 1987)

A

taking away the points of concavity made it harder to recognise as the geons couldn’t be identified

18
Q

Evidence for recognition by components theory: cortical neurons in monkeys (vogels et al 2001)

A

some neurons in inferior temporal cortex responded more to changes to geons than object size changes

19
Q

Disadvantages/evaluation of recognition by components theory

A
  • Edge information/structure not always key: texture and colour also important
  • ignores viewpoint dependence: easier to recognise some objects from some views
  • ignores within category discrimination (all chairs dont look the same)
20
Q

Viewpoint invariant theories are better for easier between-category discrimination. Viewpoint dependent theories are better for…

A

harder between-category discrimination and within category discrimination

21
Q

Define viewpoint dependence:

A

Some objects are faster and more accurately defined from certain viewpoints

22
Q

The binding problem asks:

A

how do we integrate different kinds of information when identifying objects?

23
Q

What are the stages of object recognition according to Humphreys et al 1988

A
  • separation of object from background/other objects
  • structural description
  • semantic representation: ie how is it used
  • name representation
24
Q

Agnosics struggle with which part of object recognition?

A

structural description

25
Q

Which type of agnosia provides support for Humphreys 1988 object recognition stages?

A

Associative agnosia: know the object but cannot identify or use it

26
Q

The Cascade Model of object recognition (Humphreys et al 1968)

A
  • the structural, semantic and name stages all interact
  • there are within and between category stages (info flow)
  • a problem at one stage has knock on effects on other stages, but dont get stuck on stage
27
Q

This test is often used to diagnose agnosia

A

Birmingham object recognition battery test (BORB)

28
Q

Apperceptive agnosia

A
  • cant recognise, draw, or copied in the visual modality
  • often affects unusual viewpoints of objects
  • patients may have issues drawing an object which has missing contours
29
Q

Associative agnosia

A
  • can draw, copy, and know what they are seeing but cannot recall the name or details of the object or feel familiarity
  • can usually describe an object but cannot name it
  • visual representations intact
30
Q

This type of agnosia affects later processing/recognition

A

Associative agnosia

31
Q

This type of agnosia affects earlier processing/shape extraction

A

Apperceptive agnosia

32
Q

A type of agnosia in which animate objects harder to identify than inanimate objects

A

category-specific agnosia

33
Q

Different knowledge domains about the object that may be affected in agnosia

A
  • its functional significance

- sensory properties

34
Q

These types of agnosia can occur together or separately

A

agnosia - objects

prosopagnosia - faces

35
Q

involves between category discrimination

A

Object recgonition

36
Q

involves within category discrimination

A

Face recognition