Computational vision : information processing in perception and visual behavior / Hanspeter A. Mallot ; translated by John S. Allen.
2000
QP475 .M23 2000eb
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Details
Title
Computational vision : information processing in perception and visual behavior / Hanspeter A. Mallot ; translated by John S. Allen.
Author
Mallot, Hanspeter A.
Uniform Title
Sehen und die Verarbeitung visueller Informationen. English
ISBN
9780262278959 (electronic bk.)
0262278952 (electronic bk.)
0262133814
9780262133814
0262278952 (electronic bk.)
0262133814
9780262133814
Publication Details
Cambridge, Mass. : MIT Press, ©2000.
Copyright
©2000
Language
English
Description
1 online resource (ix, 296 pages) : illustrations.
Call Number
QP475 .M23 2000eb
Dewey Decimal Classification
612.8/4/0113
Summary
This text provides an introduction to computational aspects of early vision, in particular, color, stereo, and visual navigation. It integrates approaches from psychophysics and quantitative neurobiology, as well as theories and algorithms from machine vision and photogrammetry. When presenting mathematical material, it uses detailed verbal descriptions and illustrations to clarify complex points. The text is suitable for upper-level students in neuroscience, biology, and psychology who have basic mathematical skills and are interested in studying the mathematical modeling of perception.
Note
"A Bradford book."
This text provides an introduction to computational aspects of early vision, in particular, color, stereo, and visual navigation. It integrates approaches from psychophysics and quantitative neurobiology, as well as theories and algorithms from machine vision and photogrammetry. When presenting mathematical material, it uses detailed verbal descriptions and illustrations to clarify complex points. The text is suitable for upper-level students in neuroscience, biology, and psychology who have basic mathematical skills and are interested in studying the mathematical modeling of perception.
This text provides an introduction to computational aspects of early vision, in particular, color, stereo, and visual navigation. It integrates approaches from psychophysics and quantitative neurobiology, as well as theories and algorithms from machine vision and photogrammetry. When presenting mathematical material, it uses detailed verbal descriptions and illustrations to clarify complex points. The text is suitable for upper-level students in neuroscience, biology, and psychology who have basic mathematical skills and are interested in studying the mathematical modeling of perception.
Access Note
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Source of Description
OCLC-licensed vendor bibliographic record.
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