Rating:
(22 reviews)
Author: Richard Hartley
ISBN : 0521540518
New from $93.07
Format: PDF
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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
Download latest books on mediafire and other links compilation Free Multiple View Geometry in Computer Vision
- 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: 1.3 x 6.6 x 9.6 inches
- Shipping Weight: 4.1 pounds (View shipping rates and policies)
Free Multiple View Geometry in Computer Vision
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
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