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Multiple View Geometry in Computer Vision [Paperback]

Richard Hartley , Andrew Zisserman
4.4 out of 5 stars  See all reviews (23 customer reviews)

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Book Description

April 19, 2004 9780521540513 978-0521540513 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

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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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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: 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: #252,362 in Books (See Top 100 in Books)

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

Most Helpful Customer Reviews
19 of 19 people found the following review helpful
4.0 out of 5 stars Good on the explanations of the theory 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
5.0 out of 5 stars A must for readers in computer vision 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
4.0 out of 5 stars Comment on the first edition January 3, 2004
By A Customer
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
4.0 out of 5 stars Good book, but.... July 21, 2010
By A. Nagy
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
5.0 out of 5 stars Good book, fast seller April 22, 2012
By acm
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
5.0 out of 5 stars The bible for 3D surface reconstruction from 2D images September 20, 2012
By Homer
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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Most Recent Customer Reviews
5.0 out of 5 stars Great book.
This was a great book. Worth the money. Clearly written. After reading this, I could implement my own algorithms to compute homographries.
Published 4 months ago by Holly
4.0 out of 5 stars Multiple View Geometry in Computer Vision Multiple View Geometry in...
Multiple View Geometry in Computer Vision
Multiple View Geometry in Computer Vision Multiple View Geometry in Computer Vision
Multiple View Geometry in Computer Vision... Read more
Published 10 months ago by Tran Quoc Huy
5.0 out of 5 stars The best book to learn 3D remodeling
This book introduces the detail and necessary knowledge in remodeling 3D from multiple images captured either simultaneously or chronologically. Read more
Published 12 months ago by Che-Tsung Lin
5.0 out of 5 stars When it comes to vision give me glasses....
Great book for anyone interested in Geometry Computer Vision. Can explain in a way you can pick it up and use it. Read more
Published 12 months ago by vicjo
5.0 out of 5 stars Multiple View Geometry - Step by Step
I graduated engineering school several years ago and was a bit intimidated to start something so new, but Hartley does a magnificent job of breaking things down into readable... Read more
Published 13 months ago by Michael Sander
5.0 out of 5 stars Brilliant Book!
This book is a bible on multiple view geometry for Vision applications. I taught part of my 3D Vision course last semester using this book at IIT Jodhpur. Read more
Published 13 months ago by Shanmuganathan Raman
5.0 out of 5 stars Very new book
This is a very good book for computer vision major research. It just like a new book, I love it!
Published 15 months ago by Cynthia Zhang
3.0 out of 5 stars paperback
I do not want to talk about the content of the book. It is cited by a lot of paper and many researchers use this book in computer vision.
But it is paperback. Read more
Published 18 months ago by Salim Azak
5.0 out of 5 stars Outstanding introductory text.
First a disclaimer. I am not an expert on projective geometry. However, I found the topics to be clearly explained and motivated so that I had no trouble following the... Read more
Published 22 months ago by amanuensis
5.0 out of 5 stars Simply the best
If you need a book about computer vision, this is not the book for you. However, if you are looking for something about the 3D vision. This is the best one.
Published on May 8, 2012 by Tianren
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