M2, T1, object recognition processes and models Flashcards

1
Q

Why is object recognition important?

A
  • Recognise objects regardless of: Orientation, Distance, Lighting conditions
  • Objects encountered everyday under a variety of circumstances
  • Impaired viewing conditions: object recognition more difficult but can do it
  • Two-dimensional images: photos, paintings i.e.. depth is absent
  • Brain’s object recognition system automatically “copes” with a number of object transformations
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2
Q

Object recognition, description and storage

A

Object descriptions of structures of all known objects must be stored in the brain/mind

Object recognition involves a comparison of the seen object with the stored structural description of the object.

  • what the item is, what it is used for, other objects it is associated with
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3
Q

Object recognition system - stored information

A
  • Visual knowledge of an object’s shape
  • Can process an object from various alternative viewpoints that it might be presented in
  • Knowledge of semantic functions and object’s associates
  • Knowledge of verbal names (labels) for objects
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4
Q

Models of object recognition

A

Marr’s (1980) model of object recognition

Ellis and Young (1988) model of object recognition

Riddoch and Humphreys (2001) model of object recognition

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5
Q

Marr’s (1980) model of object recognition

A

*look up image

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6
Q

Marr’s object recog model - Primal Sketch

A
  • Initial object representation, initial stage
  • Brightness changes across the field of vision allowing for perception of 2D geometry of images
  • See edges because they result in sharp changes in brightness (luminance)
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7
Q

Marr’s object recog model - 2.5D Sketch

A
  • Combines information such as textures and shading (depth information) from the primal sketch to construct and determine the spatial locations of visible surfaces from the viewers point of view
  • Describes the object from only one view-point
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8
Q

Marr’s object recog model - 3D model

A
  • Real shape of objects and surfaces and how they relate to one another
  • Independent of view-point of viewer
  • Could use this “standard” information to look up our list of known descriptions of objects for recognition
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9
Q

Ellis and Young (1988) model of object recognition

A

*look up image

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10
Q

Riddoch and Humphreys (2001) model of object recognition

A

*look up image

A hierarchical model of object recognition and naming, specifying different component processes which, when impaired, can produce varieties of apperceptive and associative agnosia

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11
Q

Ellis and Young object recog model - initial raw visual representation

A

Initial representation (Marr - primal sketch)

  • intensity (brightness) changes across field of vision
  • features such as edges, colours, etc
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12
Q

Ellis and Young object recog model - viewer centred description

A

Viewer centred representation (Marr 2.5D sketch)

  • spatial locations visible surfaces
  • uses information such as depth and location
  • object only represented from the viewpoint of viewer
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13
Q

Ellis and Young object recog model - object centred description

A

Object centred representation (Marr - 3D model)

  • real shape of objects and surfaces
  • independent of view-point of viewer
  • could use this ‘standard’ information to look up object in object store
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14
Q

Ellis and young object recog model - object recognition units

A

Object recognition units

  • stored structural object representations
  • comparison of viewer and object centred representation
  • interface between visual and semantic object representations
  • one recognition unit for each known visual object
  • describe what an object looks like
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15
Q

Ellis and young object recog model - semantic system

A

Semantic representation
- Describes object properties and attributes
- Object Recognition Units access semantic representations if match between visual representation and stored object description at levels of object recognition unit
- Access to Semantic representation occurs at number of levels
- Number of different types of input gain semantic access
object, picture, written name, spoken name

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16
Q

Ellis and Young object recog model - speech output lexicon

A
  • Name codes for objects not contained within semantic system
  • Object Name is represented in separate store – Lexicon
  • Must access object name via semantic system
  • Object naming task is typically used with neuropsychological patients
17
Q

Ellis and Young object recog model - Perceptual Classification Stage Evidence

A
  • Perceptual classification involves matching viewer-centred and object-centred representations
  • Repetition Priming: items, which have been previously encountered at an earlier phase of an experiment, are more easily recognised than those that have not been previously encountered
  • Repetition Priming effects are modality specific
18
Q

Warren and Morton (1982) - priming

A

Briefly presented pictures of objects – task naming aloud

  • Found that subjects were able to identify a picture of an object at a shorter exposure duration if they had either …
  • > Seen the same object in a picture previously or
  • > A different picture of the same object previously in the experiment
  • prior exposure to object label had no effect on recognition performance
  • repetition priming is modality specific - only occurs if first and second presentation appear in same modality
19
Q

Ellis and Young object recog model - semantic processing stage

A

Semantic System: stage at which object’s functions and associates are retrieved from memory
Access to semantics occurs – object seen, heard, felt or if written name or spoken name encountered
Why would this be important?
Semantic Priming – effect of related item context on performance i.e., presenting related items facilitates responding to the second item
-> e.g. nurse - butter slower than bread - butter

20
Q

Ellis and Young object recog model - Name retrieval stage/speech output lexicon

A
  • Access names of objects (verbal labels) via semantic system
  • Objects and pictures have direct access to their meanings but an indirect access to their labels which occurs via semantics
  • > classification of pictures faster than decisions requiring access to object labels (Potter & Faulconer, 1975)
  • > word recognition – words named faster than they are categorised
  • > interference effects – irrelevant names interfere with object naming but not with picture classification (Glasser & Glasser, 1995)