Computer Vision: A Modern Approach

Forsyth, David; Ponce, Jean

ISBN 10: 013608592X / ISBN 13: 9780136085928

Published by Pearson (edition 2), 2011

About this Item

It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.

Seller Inventory # 013608592X-11-1

Bibliographic Details

• Title: Computer Vision: A Modern Approach
• Publisher: Pearson (edition 2)
• Publication Date: 2011
• Language: English
• ISBN 10: 013608592X
• ISBN 13: 9780136085928
• Binding: Hardcover
• Edition: 2.
• Condition: Very Good

About this title

Synopsis

Computer Vision: A Modern Approach, 2e, is appropriate for upper-division undergraduate- and graduate-level courses in computer vision found in departments of Computer Science, Computer Engineering and Electrical Engineering.

This textbook provides the most complete treatment of modern computer vision methods by two of the leading authorities in the field. This accessible presentation gives both a general view of the entire computer vision enterprise and also offers sufficient detail for students to be able to build useful applications. Students will learn techniques that have proven to be useful by first-hand experience and a wide range of mathematical methods

About the Author

David A. Forsyth received the D.Phil. degree in computer science from Oxford University. He is currently a Professor in the Computer Science Division at the University of California at Berkeley. He has co-authored over eighty technical papers on computer vision, computer graphics and machine learning and has co-edited two books.

Jean Ponce received the Ph.D. degree in Computer Science from the University of Paris Orsay. He is currently a Professor in the Department of Computer Science and the Beckman Institute at the University of Illinois at Urbana Champaign. Professor Ponce has written over a hundred conference and journal papers and co-edited two books on a range of subjects including computer vision and robotics.