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Multiple View Geometry in Computer Vision Paperback – April 19, 2004

ISBN-13: 978-0521540513 ISBN-10: 9780521540513 Edition: 2nd

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Multiple View Geometry in Computer Vision + Computer Vision: Algorithms and Applications (Texts in Computer Science) + Computer Vision: Models, Learning, and Inference
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Product Details

  • Paperback: 670 pages
  • Publisher: Cambridge University Press; 2 edition (April 19, 2004)
  • Language: English
  • ISBN-10: 9780521540513
  • ISBN-13: 978-0521540513
  • ASIN: 0521540518
  • Product Dimensions: 9.6 x 6.7 x 1.3 inches
  • Shipping Weight: 4.1 pounds (View shipping rates and policies)
  • Average Customer Review: 4.4 out of 5 stars  See all reviews (23 customer reviews)
  • Amazon Best Sellers Rank: #442,207 in Books (See Top 100 in Books)

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.

More About the Author

Richard Hartley is a professor at the Australian National University and Distinguished Researcher at NICTA in Canberra. His main area of research is Computer Vision.

Customer Reviews

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This is a very good book for computer vision major research.
Cynthia Zhang
It is very important to follow through the proofs to obtain a clear picture of solving problems and implementing algorithms presented in Hartley and Zisserman's book.
Homer
This book is very complete and rigorous in its explanations of the theory.
calvinnme

Most Helpful Customer Reviews

19 of 19 people found the following review helpful By calvinnme HALL OF FAMETOP 500 REVIEWERVINE VOICE on April 25, 2009
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.
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14 of 17 people found the following review helpful By "wktang" on January 10, 2001
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.
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10 of 12 people found the following review helpful By A Customer on January 3, 2004
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.
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3 of 3 people found the following review helpful By A. Nagy on July 21, 2010
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.
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1 of 1 people found the following review helpful By acm on April 22, 2012
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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2 of 3 people found the following review helpful By Homer on September 20, 2012
Format: Paperback
This book should be considered as the essentially the bible for anybody working on the 3D surface reconstruction from 2D images. After I read through the book for the first time 5 years ago, I have revisit some chapters numerous times and each time I had a more deeper understanding on this particular topic.

When I began working on 3D surface reconstruction 5 years ago, I had close to zero background on stereophotogrammetry, or even in projective geometry, however I had good background in linear algebra, image processing using matlab, and Engineering. It was painful to read through the book the first time because 1) I had very little background of the particular topic, 2) like one of the other reviewer said: " this book just seems more focused on providing complete proofs than giving you a feel for how you would approach a real problem". But later on when I had more deeper knowledge of this research field, I have to disagree with that comments. There are significant amount of algorithms presented in this book. When I finished reading the book the first time, I was frustrated because I am not very clear on where is a practical solution for the problem. Then I read some other books such as Introductory Techniques for 3-D Computer Vision. That book is a good start and did help me making a better understanding of the 3D surface reconstruction techniques. But it doesn't cover the research topic thoroughly like Hartley and Zisserman's book on stereophotogrammetry. It is very important to follow through the proofs to obtain a clear picture of solving problems and implementing algorithms presented in Hartley and Zisserman's book.

And this book provides clear and easily implemented algorithms in both matlab and C++ (with help from open source libraries such as openCV).
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