Seeing

The Computational Approach to Biological Vision

John P. Frisby, James V. Stone (The University of Sheffield)

$170

Paperback

Not in-store but you can order this
How long will it take?

Availability Information

We source books from suppliers in Australia and overseas. For books we don't currently have in stock, the time it takes to get them from our suppliers can vary widely - from a few days to a few months - so we check each book with each supplier to determine the expected time it will take to be supplied to us.

We then advise you accordingly. If the time taken to get any book is too long for you, you can let us know and we will cancel or adjust your order, and refund as required.

To find out the anticipated arrival time for specific items prior to ordering, please contact us by phone or email:

Phone +61 2 9264 3111, or 1800 4 BOOKS (1800 4 26657) if outside Sydney:
option 1 Abbey's Bookshop (Crime, History, Science, Kids & more) • info@abbeys.com.au
option 2 Language Book Centre (ESL & Foreign Languages) • language@abbeys.com.au
option 3 Galaxy Bookshop (Sci-fi, Fantasy, Romance, Graphic Novels) • sf@galaxybooks.com.au

QTY:

English

Massachusetts Inst of Tec
02 April 2010

Physiological & neuro-psychology, biopsychology; Mathematics & Sciences; Human biology; Biogeography

Series: Seeing

"An accessible yet rigorous and generously illustrated exploration of the computational approach to the study of biological vision.

Seeing has puzzled scientists and philosophers for centuries and it continues to do so. This new edition of a classic text offers an accessible but rigorous introduction to the computational approach to understanding biological visual systems. The authors of Seeing, taking as their premise David Marr's statement that ""to understand vision by studying only neurons is like trying to understand bird flight by studying only feathers,"" make use of Marr's three different levels of analysis in the study of vision- the computational level, the algorithmic level, and the hardware implementation level. Each chapter applies this approach to a different topic in vision by examining the problems the visual system encounters in interpreting retinal images and the constraints available to solve these problems; the algorithms that can realize the solution; and the implementation of these algorithms in neurons.

Seeing has been thoroughly updated for this edition and expanded to more than three times its original length. It is designed to lead the reader through the problems of vision, from the common (but mistaken) idea that seeing consists just of making pictures in the brain to the minutiae of how neurons collectively encode the visual features that underpin seeing. Although it assumes no prior knowledge of the field, some chapters present advanced material. This makes it the only textbook suitable for both undergraduate and graduate students that takes a consistently computational perspective, offering a firm conceptual basis for tackling the vast literature on vision. It covers a wide range of topics, including aftereffects, the retina, receptive fields, object recognition, brain maps, Bayesian perception, motion, color, and stereopsis. MatLab code is available on the book's website, which includes a simple demonstration of image convolution."

By: John P. Frisby, James V. Stone (The University of Sheffield)
Imprint: Massachusetts Inst of Tec
Country of Publication: United States
Edition: 2nd Revised edition
Dimensions: Height: 254mm, Width: 203mm, Spine: 23mm
Weight: 1.315kg
ISBN: 9780262514279
ISBN 10: 0262514273
Series: Seeing
Pages: 576
Publication Date: 02 April 2010
Recommended Age: From 18 years
Audience: College/higher education , Professional and scholarly , Primary , Undergraduate
Format: Paperback
Publisher's Status: Active

John P. Frisby is Emeritus Professor of Psychology at the University of Sheffield. James V. Stone is a Reader in the Psychology Department of the University of Sheffield. He is coauthor (with John P. Frisby) of the widely used text Seeing: The Computational Approach to Biological Vision (second edition, MIT Press, 2010), and author of Independent Component Analysis: A Tutorial Introduction (MIT Press, 2004).

Reviews for Seeing: The Computational Approach to Biological Vision

A good introduction to vision for the general reader, a fine textbook for an undergraduate course, and an excellent resource for the advanced student or researcher. -CHOICE