| View Larger Image | Multiple View Geometry in Computer Vision | Paperbackby Richard Hartley (Author), Andrew Zisserman (Author)
| List Price: | $99.00 | | Price: | $77.71 | | You Save: | $21.29 (22%) | | | Available: | Usually ships in 24 hours |
| | Binding: | Paperback | | Publisher: | Cambridge University Press | | Edition: | 2nd Edition | | Page Count: | 672 Pages | | Publication Date: | April 19, 2004 | | Sales Rank: | 284,598th |
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EDITORIAL REVIEWS |
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 |
CUSTOMER REVIEWS (Average Customer Rating: 4.0 based on 9 reviews)
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SH*** happens.... by Yannick Barrette  4 Stars
November 11, 2009
There was a failure in the delivery, the mailman gave the package to someone else. I have no way to be refund by post Canada. I did order the book once again and i received it.
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Good on the explanations of the theory by calvinnme (Fredericksburg, Va) 4 Stars
April 26, 2009
This book is very complete and rigorous in its explanations of the theory. However, I just think I like the approach in An Invitation to 3-D Vision a bit better. This book is better illustrated than that one and is more careful in its explanations, but this book just seems more focused on providing complete proofs than giving you a feel for how you would approach a real problem. Even the exercises are more along the lines of proofs. I like how An Invitation to 3-D Vision ends the book with a complete example. In all fairness, though, this book does have quite a bit of Matlab code on its website.
The book begins with some background material on 2D and 3D geometry. Then the author explains single-view geometry and how cameras map an image in 3D space to an image. Two-view geometry is next, with the author describing the epipolar geometry of two cameras ahd projective reconstruction from resulting image map correspondences. Part three of the book extends ideas to three cameras and the resulting trifocal geometry. The final section of the book takes the algorithms of the book to N views. Thus this book has a simple and straightforward structure that belies the complexity of the material.
If you are really researching this subject you should probably have this book for explanation, illustrations, and rigor, and the Invitation book for enlightenment through a good example-based approach. You should also have Introductory Techniques for 3-D Computer Vision as a text on the individual pieces of algorithms involved in 3D vision. And don't even think about getting into this subject unless you already have a firm foundation in linear algebra, image processing, and computer vision in general as found in Computer Vision, which is my favorite introductory computer vision text.
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Missing a chapter by Bradley Banister  1 Stars
September 13, 2008
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.
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Valuable and full of useful content by Denis Mikhalkin (Sydney, NSW Australia) 4 Stars
April 24, 2008
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.
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Lots of Good information, not a lot of words by Kirt D. Lillywhite (Provo, Utah USA)  3 Stars
February 10, 2007
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.
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