Ebook Multiple View Geometry in Computer Vision
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Multiple View Geometry in Computer Vision
Ebook Multiple View Geometry in Computer Vision
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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
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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.
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Product details
Paperback: 670 pages
Publisher: Cambridge University Press; 2 edition (April 19, 2004)
Language: English
ISBN-10: 0521540518
ISBN-13: 978-0521540513
Product Dimensions:
6.9 x 1.4 x 9.8 inches
Shipping Weight: 4.1 pounds (View shipping rates and policies)
Average Customer Review:
4.5 out of 5 stars
26 customer reviews
Amazon Best Sellers Rank:
#178,459 in Books (See Top 100 in Books)
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.
Amazing book
This book introduces the detail and necessary knowledge in remodeling 3D from multiple images captured either simultaneously or chronologically. For advanced researcher, this book is extremely helpful but it is quite difficult for beginner's level. For anybody wanting to study this field from scratch, i would recommend "Introductory Techniques for 3-D Computer Vision" which is rather easy and explains the algorithm without the requirement of possessing prior field knowledge.
A must read for serious computer vision researcher
Great book for anyone interested in Geometry Computer Vision. Can explain in a way you can pick it up and use it. Again it was a gift and makes a wonderful gift for someone in this field.
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 progression. I only wish I had found this book sooner, as I spent much time and effort developing algorithms and formulae that I could have picked straight from the chapters of this text.
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 English.Have you ever wondered why 4x4 matrices are used in computer graphics? In school we got a half-way answer about the projective matrix, but it was never really satisfying. This book explains the math behind that and much more clearly, leaving you with many "ah ha" moments.
If you're interested in photogrammetry, buy this book. Extremely well written, extremely informative, and more clear than I could have hoped for. The only thing it doesn't provide is written out code (not even pseudocode) - just a plain-English description of each algorithm's steps.
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