Computer Vision: A Modern Approach: United States Edition
David A. Forsyth et Jean Ponce
Sold by Ammareal, Morangis, France
AbeBooks Seller since 29 August 2016
Used - Hardcover
Condition: Used - Near fine
Quantity: 1 available
Add to basketSold by Ammareal, Morangis, France
AbeBooks Seller since 29 August 2016
Condition: Used - Near fine
Quantity: 1 available
Add to basketAncien livre de bibliothèque avec équipements. Edition 2003. Ammareal reverse jusqu'à 15% du prix net de cet article à des organisations caritatives. ENGLISH DESCRIPTION Book Condition: Used, Good. Former library book. Edition 2003. Ammareal gives back up to 15% of this item's net price to charity organizations.
Seller Inventory # G-724-333
Appropriate for upper-division undergraduate- and graduate-level courses in computer vision found in departments of Computer Science, Computer Engineering and Electrical Engineering.
This long anticipated book is 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.
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.
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