Multiple View Geometry in Computer Vision [Paperback]

Richard Hartley (Author), Andrew Zisserman (Author)

Book Description

Publication Date: April 19, 2004 | ISBN-10: 0521540518 | ISBN-13: 978-0521540513 | Edition: 2

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

Editorial Reviews

Review

"The authors have succeeded very well in describing the main techniques in mainstream multiple view geometry, both classical and modern, in a clear and consistent way....I heartily recommend this book." Computing Reviews

Book Description

A basic problem in computer vision is to understand the structure of a real world scene given several images of it. Recent major developments in the theory and practice of scene reconstruction are described in detail in a unified framework. The book covers the geometric principles and how to represent objects algebraically so they can be computed and applied. The authors provide comprehensive background material and explain how to apply the methods and implement the algorithms directly.

Product Details

• Paperback: 672 pages
• Publisher: Cambridge University Press; 2 edition (April 19, 2004)
• Language: English
• ISBN-10: 0521540518
• ISBN-13: 978-0521540513
• Product Dimensions: 9.7 x 6.7 x 1.3 inches
• Shipping Weight: 3.3 pounds (View shipping rates and policies)
• Average Customer Review: 4.0 out of 5 stars  See all reviews (11 customer reviews)
• Amazon Best Sellers Rank: #105,645 in Books (See Top 100 in Books)
  • #35 in Books > Computers & Technology > Computer Science > Artificial Intelligence > Robotics

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Customer Reviews

Most Helpful Customer Reviews

11 of 11 people found the following review helpful:

4.0 out of 5 stars Good on the explanations of the theory, April 25, 2009

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calvinnme - See all my reviews
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This review is from: Multiple View Geometry in Computer Vision (Paperback)

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.

13 of 15 people found the following review helpful:

5.0 out of 5 stars A must for readers in computer vision, January 10, 2001

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"wktang" (Hong Kong) - See all my reviews

This review is from: Multiple View Geometry in Computer Vision (Hardcover)

It is the best book in this area that I have seen up to now. It is well-organized and all the notations and words are friendly to beginners and even experts in this field. Included materials are really tracing the latest advanced techniques. Actually, it is great that there are a lot of exercises at the ends of each chapters but there is no sufficient solutions or detail explanations to each questions.

10 of 11 people found the following review helpful:

4.0 out of 5 stars Comment on the first edition, January 3, 2004

By A Customer

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This review is from: Multiple View Geometry in Computer Vision (Paperback)

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.