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Multiple View Geometry in Computer Vision Paperback – 25 Mar 2004


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Product details

  • Paperback: 670 pages
  • Publisher: Cambridge University Press; 2 edition (25 Mar. 2004)
  • Language: English
  • ISBN-10: 0521540518
  • ISBN-13: 978-0521540513
  • Product Dimensions: 17.4 x 3.6 x 24.7 cm
  • Average Customer Review: 5.0 out of 5 stars  See all reviews (3 customer reviews)
  • Amazon Bestsellers Rank: 131,220 in Books (See Top 100 in Books)
  • See Complete Table of Contents

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Review

'I am very positive about this book. 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.' Computing Reviews

'… a book which is timely, extremely thorough and commendably clear … Overall, the approach is masterly … The authors have managed to present the very essence of the subject in a way which the most subtle ideas seem natural and straightforward. I have never seen such a clear exploration of the geometry of vision. I would wholeheartedly recommend this book. It deserves to be in the library of every serious researcher in the field of computer vision.' Journal of Robotica

'The new edition features an extended introduction covering the key ideas in the book (which itself have been updated with additional examples and appendices) and significant new results which have appeared since the first edition. Comprehensive background material is provided, so readers familiar with linear algebra and basic numerical methods can understand the projective geometry and estimation algorithms presented, and implement the algorithms directly from the book.' Zentralblatt MATH

Book Description

The theory and practice of scene reconstruction are described in detail in a unified framework. The new edition features an extended introduction covering the key ideas in the book (which itself has been updated with additional examples and appendices) and significant new results which have appeared since the first edition.

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5 of 5 people found the following review helpful By Edward Moxey on 23 Jan. 2002
Format: Hardcover
I had a copy of this book from the library for over six months and I will soon have to buy a copy of my own. This book is an absolute must for research scientists and engineers interested in 3D reconstruction of a scene captured from multiple views. Although the subject matter is rather high level for those with little experience in this area, the text describes and explains the theory and concepts better than any other text that I have seen. There are loads of excellent diagrams and examples of processed imaged as well as math tutorials in the appendix and a long list of references. The bible in this area of CV research use to be "Three-dimensional Computer Vision" by Faugeras, but this text will undoubtedly replace it.
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5 of 6 people found the following review helpful By A Customer on 24 Jan. 2002
Format: Hardcover
The book focuses on the 3D reconstruction part of computer vision and its description on the basis of projective geometry.
The explanations of projective geometry and the justification of the use of homogeneous coordinates is by far better than in the classic book by O. Faugeras or any other book I found so far.
It's an optimum starting point for all PhD students in the area. However it's important to have the errata list (available online at ...ox.ac.uk anywhere).
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By DLP on 3 Mar. 2010
Format: Paperback
This is a great book for any one conducting work or research in this area.
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Most Helpful Customer Reviews on Amazon.com (beta)

Amazon.com: 24 reviews
19 of 19 people found the following review helpful
Good on the explanations of the theory 26 April 2009
By calvinnme - Published on Amazon.com
Format: Paperback Verified Purchase
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.
14 of 17 people found the following review helpful
A must for readers in computer vision 11 Jan. 2001
By "wktang" - Published on Amazon.com
Format: 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 12 people found the following review helpful
Comment on the first edition 3 Jan. 2004
By A Customer - Published on Amazon.com
Format: Paperback Verified Purchase
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.
3 of 3 people found the following review helpful
Good book, but.... 21 July 2010
By A. Nagy - Published on Amazon.com
Format: Paperback
Great book in this subject. The good things are...
- Clear theoritical introduction which many books miss to add
- Great appendixes about some mathematical theories necessary to understand this book
- Great organizaion of book chapters and coherent topics for each
- Bonus: Chapters for estimating hemographies and the math behind that
I cannot see any cons of the boox except that there is no clear road map to go into specific topic. For example, I am interested in multiple view geometry only (Trifocal tensor and above), I cannot figure out what I should read and what I can skip. I have to figure my way through.
After all, the best in the subject. Recommended.
1 of 1 people found the following review helpful
Good book, fast seller 22 April 2012
By acm - Published on Amazon.com
Format: Paperback Verified Purchase
Very good book, theoretical basics well explained for key applictinos to 3D computer vision. A must for 3D computer vision engineers and researchers
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