Analyzing Natural Images: A Computational Theory of Texture Vision

dc.creator	Marr, D.
dc.date	2004-10-04T14:46:50Z
dc.date	2004-10-04T14:46:50Z
dc.date	1975-06-01
dc.date.accessioned	2013-10-09T02:44:21Z
dc.date.available	2013-10-09T02:44:21Z
dc.date.issued	2013-10-09
dc.identifier	AIM-334
dc.identifier	http://hdl.handle.net/1721.1/6235
dc.identifier.uri	http://koha.mediu.edu.my:8181/xmlui/handle/1721
dc.description	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.
dc.format	3873026 bytes
dc.format	2710772 bytes
dc.format	application/postscript
dc.format	application/pdf
dc.language	en_US
dc.relation	AIM-334
dc.title	Analyzing Natural Images: A Computational Theory of Texture Vision

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