Computational Approaches To Vision Research Flashcards

1
Q

What did Alhazen find out about the visual system?

A

Had similar view to what we know now, how information goes from one eye to the opposite hemisphere, and how large proportion of brain is to do with vision

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2
Q

What did Hering suggest?

A

Introspection - can’t see reddy green or bluey yellow

Opponent process theory - predicted 3 colours from the cones must somehow be processed later to be either blue or yellow, or green or red - can’t be both

  • > cones first stage of colour vision
  • > opponent cells come after
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3
Q

What are the problems with introspection?

A

Introspection only works for the really insightful/lucky
Also needs verification from other methods

Not everyone’s perception is the same eg. colour blind people, stereoblind people (can’t see 3D)

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4
Q

What is a good test of vision?

A

Forced choice - no problems eg. demand characteristics or criterion (some people have different levels of certainty)

Make people make a decision - 2AFC (2 alternative forced choice), 4AFC etc

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5
Q

Why are models of behaviour important?

A

Predictions about what kind of behaviour you’ll get
Tend to be mathematical in vision - precise estimates of how performance will change

Predict reaction times, where people look (saliency map) -> can measure these

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6
Q

Why should we use eyetrackers?

A

Eye movements tend to give insight to attention

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7
Q

What do uses of models show about humans?

A

Can show people are bad at recognising shadows but computers don’t ignore them -> can recognise fake/doctored images

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