Object And Face Recognition Flashcards

1
Q

Challenges of object recognition

A
  • different classes of things recognised
  • from different angles-partly occluded
  • occurs rapidly and mostly without error
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2
Q

Computers vs humans

A

Computers start with pixels and build up (bottom up) and people take info at multiple scales (top down)

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3
Q

Process of recognising an object

A
  • See the basic features in the scene
  • Perceive organisation in features
  • perceive shape
  • compare the shape percent to memory
  • make a decision about whether the object is familiar
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4
Q

Template matching

A

Comparing the whole object to stored representations to find a match

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5
Q

Feature analysis

A

Break shapes down into critical features

- these critical features are recognised and assembled into objects and shapes that are compared to mental templates

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6
Q

Strengths of feature analysis

A

Reduces the number of representations the mind must store in order to process everything to be recognised

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7
Q

Marr and Nishiharas model of 3 levels

A
  1. Edge image -edges colours and blobs
  2. 2 1/2 D sketch - depth and orientation
  3. 3D model representation - relative positions

Better at explaining how computers are programmed than recognition in humans

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8
Q

Motion perception

A

We must be able to pick up changes in a stimulus over quite brief time intervals and recognise the same stimulus in different positions

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9
Q

Face recognition

Evidence that it is “special”

A

1) Developmental- newborns averaging 8 minutes old oriented towards upright face stimuli
2) Configural processing- see very specific spatial relationships between features
3) Mechanistic - special brain areas devoted to face processing - Fusiform Face Area (FFA)

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10
Q

Prosopagnosia =face blindness

A
  • brain damage to face processing regions

- harder to do as involves making finer distinctions

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11
Q

Capgras Syndrome

A

A person holds delusions that friends and family have been replaced by an identical looking imposter
- damage of emotional pathway -people might “look” real to you but not “feel” real

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12
Q

Implications of face recognition.

A
  • facial attractiveness related to more lenient court decisions for crimes where attractiveness is a factor e.g. Con artist
  • “criminal” faces rated as less trustworthy and more dominant
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