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Analyzing Natural Images: A Computational Theory of Texture Vision

Author(s)
Marr, D.
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Abstract
A theory of early and intermediate visual information processing is given, which extends to about the level of figure-ground separation. Its core is a computational theory of texture vision. Evidence obtained from perceptual and from computational experiments is adduced in its support. A consequence of the theory is that high-level knowledge about the world influences visual processing later and in a different way from that currently practiced in machine vision.
Date issued
1975-06-01
URI
http://hdl.handle.net/1721.1/6235
Other identifiers
AIM-334
Series/Report no.
AIM-334

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  • AI Memos (1959 - 2004)

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