Multiple View Geometry in Computer Vision

Note moyenne 4,32
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9780521623049: Multiple View Geometry in Computer Vision
Revue de presse :

'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

Présentation de l'éditeur :

A basic problem in computer vision is to understand the structure of a real world scene given several images of it. Techniques used in the book for solving this are taken from projective geometry and photogrammetry. 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. Recent major developments in the theory and practice of scene reconstruction are described in detail in a unified framework. The authors provide comprehensive background material, so a reader familiar with linear algebra and basic numerical methods will be able to understand the projective geometry and estimation algorithms presented, and implement the algorithms directly from the book.

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Richard Hartley, Andrew Zisserman
Edité par Cambridge University Press (2000)
ISBN 10 : 0521623049 ISBN 13 : 9780521623049
Neuf(s) Couverture rigide Quantité : 1
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Description du livre Cambridge University Press, 2000. Hardcover. État : New. N° de réf. du libraire DADAX0521623049

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Acheter neuf
EUR 3 617,17
Autre devise

Ajouter au panier

Frais de port : EUR 3,65
Vers Etats-Unis
Destinations, frais et délais