Robotics & Artificial Intelligence, Mechanical Engineering & Dynamics, Mechanical Engineering & Dynamics, Artificial Intelligence (AI), Mathematics, Geometry, Robotics & Artificial Intelligence
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Overview
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.Editorials
Booknews
Hartly, in the US private sector, and Zisserman (U. of Oxford) describe techniques for reconstructing a real-world scene from several images of it, a basic problem in computer vision. The methods have been developed from projective geometry and photogrametry, and have the special feature of being uncalibrated, that is, it is not necessary to know or to compute the camera's internal parameters before getting an answer to the problem. They discuss the geometric principles, their algebraic representation in terms of camera projection matrices, the fundamental matrix, and the trifocal tensor. Annotation c. Book News, Inc., Portland, OR (booknews.com)From the Publisher
"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 ReviewsBook Details
Published
December 5, 2012
Publisher
Cambridge University Press
ISBN
9781139636124