Computer Vision: A Modern Approach
Forsyth, David; Ponce, Jean
Sold by Foliobooks, Madison, WI, U.S.A.
AbeBooks Seller since February 15, 2017
Used - Hardcover
Condition: Used - Very good
Ships within U.S.A.
Quantity: 1 available
Add to basketSold by Foliobooks, Madison, WI, U.S.A.
AbeBooks Seller since February 15, 2017
Condition: Used - Very good
Quantity: 1 available
Add to basketPages are clean, bright, unmarked, and undamaged. Glossy cover is lightly rubbed overall and bumped at upper corner tips. A delivery signature will be required on this item.
Seller Inventory # 20260421a
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
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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