Lecture 4 - Face Recognition (not MCQ) Flashcards

1
Q

Why study face perception?

A

Nothing communicates as efficiently as human face

Age, gender, mood, speech, gaze/attention, identity

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2
Q

What are the demands of facial recognition?

A

Generally same as object recognition, recognition in context, object invariance, specificity

Faces require more specificity (exemplar vs category level) + in most situations we need to recognise specific individual face rather than category

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3
Q

What did Ellis/Shepherd/Davies study?

A

Effectiveness of Photofit system

Found we have not very good way of forming representations of face, people have difficulty reproducing likenesses of even familiar faces

Photofit has inherent belief we process local features individually (do we?)

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4
Q

How do we represent faces?

A

Configurally, can mean:

Spatial relationship between features important as features themselves, face features interact w/ one another, faces processed holistically

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5
Q

What did Tanaka/Farah study?

A

Features vs configurations

if parts of faces represented separately memory for parts presented in isolation should be as good as when presented w/ face, participants learned names to go w/ face, asked to pick out Larry from 2 alts

When learn from normal face –> better in learning context

When learn from scrambled face –> better from feature alone

Representation of whole faces based at least partly in holistic

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6
Q

What did Young study?

A

Upright/Inverted faces, asked to name person on bottom/top half w/ either aligned/misaligned halves, RT measured

People slower to name aligned halves –> perception of novel facial configuration interfered w/ identification of constituent parts

No difference found when face was upside down, interference only for upright

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7
Q

What does the Thatcher illusion tell us?

A

Lack of configural processing for inverted faces

Importance of surface properties

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8
Q

Why are surface properties important?

A

Play a role in disambiguating similar looking objects – orange & grapefruit…

Face recognition relies on more specific processing mechanisms & involves different brain regions

Face representations seem to preserve surface characteristics – pigmentation

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9
Q

What are the 2 effects of negation?

A

2 sources of info adversely affected:
1. Pigmentation: skin/hair colour
2. Pattern of shading/shadow which specify 3D structure of face (line drawings diff to recog unless info about pigmentation/shading preserved in some way)

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10
Q

How does distinctiveness/caricature affect recognition?

A

Not all faces equally easy to recognise, distinctive recognised more accurately/quickly than those rated as typical

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11
Q

What did Valentine/Bruce find?

A

Showed pictures of famous/unfamiliar faces + asked to rate how well it would stand out in a crowd

Easier to classify face as a face when typical

Explained using ‘face space’ model by Valentine (distinctive faces represented in sparsely populated regions of brain)

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12
Q

How do we recognise faces based on Bruce/Young?

A

Structural encoding (expression analysis/facial speech analysis/direct visual processing) –> face recognition units (directed visual processing/cognitive system) –> person identity nodes (cognitive system) –> name generation (cognitive system)

Form structural description –> matched to stored representations (Face Recognition Units FRUs) –> access semantic info (Person Identity Nodes PINs) –> recall person’s name

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13
Q

What is evidence for Bruce/Young’s model?

A

Efficacy of diff cues in helping resolve errors/difficulties of face recognition

Naturally occurring/induced errors (failed to recognise, misidentified, etc.)

Latencies of diff decisions made to faces (familiarity decision faster than semantic/naming decisions)

Neuropsychological patients w/ diff patterns of face recognition difficulty

Associative prosopagnosia (FRUs)

Semantic impairment (PINs)

Names (anomia)

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14
Q

What does Bruce/Young’s model suggest about independent processing?

A

Expressions and visual speech processed independently and in parallel to identity

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15
Q

What are problems for Bruce/Young’s theory?

A

Independence: found RTs for identity judgments independent of variation in expression/facial speech but RTs for expression/facial speech influenced by variation in identity

Covert recognition: some prosopagnosic patients w/ no overt recognition showed covert responses

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16
Q

What does covert recognition suggest?

A

There is “leakage” from the rest of the cognitive system in face recognition?
(Patient PH: better at deciding that two views of a famous face belonged to same person than two pictures of an unfamiliar face, showed face name interference, semantic priming works, learns true names/occupations faster for famous names)

Or there are two face processing routes, one conscious and one unconscious.

17
Q

What did Burton/Bruce/Johnson find?

A

Pools of units (feature/FRUs/NRUs/PINs/SIUs) connected by bidirectional excitatory links

18
Q

What is the interactive activation (IAC) model?

A

Can account for covert priming (eg. semantic priming)