Computer Vision: A Modern Approach

by David A. Forsyth, Jean Ponce

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.

Genres: Computer Science, Artificial Intelligence, Technical, Mathematics, Engineering

792 pages, Kindle Edition

First published August 14, 2002

About the author

David Forsyth is a South African computer scientist and full professor at the University of Illinois.

In 2013, he became a fellow of the Association for Computing Machinery. He is married to Margaret Fleck, who is also a professor at the University of Illinois, and has three children.

Reviews

[London Jackson]

I used this book to supplement a course in computer vision. The exposition leaves much to be desired. The authors handwave nontrivial mathematical results, without acknowledgement. Errors are also abundant (least squares solution is wrong on p.294, derivative of minimization criteria is wrong on p. 301).

[Felix]

Giving up on this book. I would revisit a lot of these topics in another text... to be determined.

[Delhi Irc]

Location: GG6 IRC
Accession no: DL026920

[Daniyar]

Good book.

[Nam Bùi]

ghfh