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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
'… 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
Product Description
A basic problem in computer vision is to understand the structure of a real world scene given several images of it. Techniques for solving this problem are taken from projective geometry and photogrammetry. Here, the authors cover the geometric principles and their algebraic representation in terms of camera projection matrices, the fundamental matrix and the trifocal tensor. The theory and methods of computation of these entities are discussed with real examples, as is their use in the reconstruction of scenes from multiple images. 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. 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.
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This chapter is an introduction to the principal ideas covered in this book. Read the first page
Front Cover | Copyright | Table of Contents | Excerpt | Index | Back Cover
This chapter is an introduction to the principal ideas covered in this book. Read the first page
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Front Cover | Copyright | Table of Contents | Excerpt | Index | Back Cover
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Most Helpful Customer Reviews
5 of 5 people found the following review helpful
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).
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).
4 of 4 people found the following review helpful
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.
Format:Paperback
This is a great book for any one conducting work or research in this area.
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