| Multiple View Geometry in Computer Vision | 
| Authors: Richard Hartley, Andrew Zisserman
Publisher: Cambridge University Press
Category: Book
List Price: $97.00
Buy New: $79.88
You Save: $17.12 (18%)
Buy New/Used from $79.88
Avg. Customer Rating:   (7 reviews)
Sales Rank: 171137
Languages: English (Original Language), English (Unknown), English (Published)
Media: Paperback
Edition: 2
Number Of Items: 1
Pages: 672
Shipping Weight (lbs): 3.2
Dimensions (in): 9.7 x 6.8 x 1.3
ISBN: 0521540518
Dewey Decimal Number: 006.37
EAN: 9780521540513
ASIN: 0521540518
Publication Date: April 19, 2004
Availability: Usually ships in 1-2 business days
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Product Description
A basic problem in computer vision is to understand the structure of a real world scene. This book covers relevant geometric principles and how to represent objects algebraically so they can be computed and applied. Recent major developments in the theory and practice of scene reconstruction are described in detail in a unified framework. Richard Hartley and Andrew Zisserman provide comprehensive background material and explain how to apply the methods and implement the algorithms. First Edition HB (2000): 0-521-62304-9
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| Customer Reviews: Read 2 more reviews...
 Missing a chapter September 13, 2008
0 out of 2 found this review helpful
I received the fourth printing a few weeks ago. It is missing pages 177-208. That includes all of chapter seven, on camera calibration. Ridiculous.
Valuable and full of useful content April 24, 2008
1 out of 1 found this review helpful
I find the book very useful, it is full of practically useful content. Formulas, theorems, lots of examples and illustrations. Overall very easy to read and understand, though requires you to recall your forgotten mathematical skills. The book does present what it claims on the first pages, so read the abstract and judge for yourself if you need the book. For my purposes, I found it to contain all the material I needed to perform certain image photo transformations and compositions. There is also lots of reference material, in terms definitions, formulas and theorems with proofs. And it's good to have it all in one place.
Overall I would say it is worth the money.
 Lots of Good information, not a lot of words February 11, 2007
0 out of 2 found this review helpful
The book has a lot of valuable information for those who are working in computer vision. The book however is fairly terse on many subject and requires careful reading.
 excellent book September 26, 2005
2 out of 10 found this review helpful
My lab has the first edition of this book. Everyone likes it. That's why we order a second book. I have not read through the second edition yet, but this book rocks!
Comment on the first edition January 3, 2004
7 out of 8 found this review helpful
The first edition of this book could have been much better written. It took up a lot of topics, but treated each in a summary fashion. In fairness, though, I must say that this may be as good as any other book with its aim and scope, and better than some. Any writer on computer vision faces the problem of guessing who the reader is likely to be and what the reader's background is. Also, each of the various topics really merits a sizable book. In particular, the mathematics needs a truly mathematical treatment in a separate book. I have not seen this second edition, but there was room for improvement over the first edition.
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