Computational Vision – Information Processing in Perception & Visual Behavior (Computational Neuroscience Series) - Hardcover

Mallot, Hanspeter A.; Sejnowski, Terrence J.; Poggio, Tomaso A.

Hardcover

ISBN 10: 0262133814 ISBN 13: 9780262133814

Publisher: MIT Press, 2000

Synopsis

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.

About this title

About the Author

Terrence J. Sejnowski holds the Francis Crick Chair at the Salk Institute for Biological Studies and is a Distinguished Professor at the University of California, San Diego. He was a member of the advisory committee for the Obama administration's BRAIN initiative and is President of the Neural Information Processing (NIPS) Foundation. He has published twelve books, including (with Patricia Churchland) The Computational Brain (25th Anniversary Edition, MIT Press). Tomaso A. Poggio is Eugene McDermott Professor in the Department of Brain and Cognitive Sciences at MIT, where he is also Director of the Center for Brains, Minds, and Machines and Codirector of the Center for Biological and Computational Learning. He is coeditor of Perceptual Learning (MIT Press).

Synopsis

This text provides an introduction to computational aspects of early vision, in particular, colour, 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 modelling of perception.

Edition details

• Publisher: MIT Press
• Publication date: 2000
• Language: English
• ISBN 10: 0262133814
• ISBN 13: 9780262133814
• Binding: Hardcover
• Edition number: 2
• Number of pages: 310