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1. Introduction What is Vision? Active Visual Perception

1. Introduction What is Vision? Active Visual Perception

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Zoltan Kato: Computer V<strong>is</strong>ion<br />

Depth Cues: Binocular D<strong>is</strong>parity<br />

• Each eye receives a slightly different image of the<br />

world from which 3D positions can be inferred.<br />

• D<strong>is</strong>parity - The difference in retinal position<br />

between the corresponding points in two images.<br />

D<strong>is</strong>parity <strong>is</strong> inversely proportional to the depth of the<br />

point in space.<br />

Zoltan Kato: Computer V<strong>is</strong>ion<br />

Theory of V<strong>is</strong>ual <strong>Perception</strong><br />

• The information we receive<br />

by our eyes <strong>is</strong> relatively<br />

impover<strong>is</strong>hed.<br />

• For example, the retina<br />

receives a grainy 2D image of<br />

the v<strong>is</strong>ual scene…<br />

• …that includes large gaps<br />

(blind spots)…<br />

• …and an uneven<br />

representation of colour<br />

(cones) and luminance (rods).<br />

• Th<strong>is</strong> information <strong>is</strong><br />

transformed into a rich<br />

v<strong>is</strong>ual experience.<br />

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Zoltan Kato: Computer V<strong>is</strong>ion<br />

Perceptual Constancy<br />

Size constancy<br />

• We tend to experience objects as the same, despite the<br />

image they produce on the retina may vary greatly.<br />

• Shape constancy – objects seen from different angles do not appear<br />

different or to change shape<br />

• Size constancy – objects do not seem to change size when they move<br />

nearer or further away.<br />

• Color constancy – differing illumination does not affect color despite<br />

changes in the actual reflected light.<br />

Zoltan Kato: Computer V<strong>is</strong>ion<br />

Theory of V<strong>is</strong>ual <strong>Perception</strong>: Marr<br />

• Theories of v<strong>is</strong>ual perception attempt to explain how<br />

th<strong>is</strong> happens.<br />

• David Marr: V<strong>is</strong>ion: A Computational Investigation<br />

into the Human Representation and Processing of<br />

V<strong>is</strong>ual Information, 1982.<br />

• wanted to understand mechan<strong>is</strong>ms of v<strong>is</strong>ion rather<br />

than just behaviours associated with it.<br />

• He took an information processing view of the mind…<br />

• …and aimed to describe perception in terms of<br />

computations on sense data…<br />

• …to extract high level v<strong>is</strong>ual experience.<br />

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