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Multiple View Geometry in Computer Vision - Andrew Zisserman
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ISBN: 9780511188954

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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. Multiple View Geometry in Computer Vision: 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., Cambridge University Press

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Multiple View Geometry in Computer Vision - Richard Hartley
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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. Multiple View Geometry in Computer Vision: 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., Cambridge University Press

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Multiple View Geom Comp Vision 2ed - Hartley, Richard
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3

ISBN: 9780511188954

ID: 101159780511188954

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 reconstr 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. Computer Vision, Engineering, Multiple View Geom Comp Vision 2ed~~ Hartley, Richard~~Computer Vision~~Engineering~~9780511188954, en, Multiple View Geom Comp Vision 2ed, Hartley, Richard, 9780511188954, Cambridge University Press, 03/01/2004, , , , Cambridge University Press, 03/01/2004

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Multiple View Geometry In Computer Vision - Cambridge University Press
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2004, ISBN: 9780511188954

ID: 5584378

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. 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. eBooks, , Multiple View Geometry In Computer Vision~~EBook~~9780511188954~~Andrew Zisserman, Richard Hartley, , Multiple View Geometry In Computer Vision, Andrew Zisserman, 9780511188954, Cambridge University Press, 03/25/2004, , , , Cambridge University Press

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Multiple View Geometry in Computer Vision: Richard Hartley, Andrew Zisserman Multiple View Geometry in Computer Vision: Richard Hartley, Andrew Zisserman eBooks > Belletristik > Erzählungen, Cambridge University Press

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Multiple View Geom Comp Vision 2ed
Autor:

Hartley, Richard;Zisserman, Andrew

Titel:

Multiple View Geom Comp Vision 2ed

ISBN-Nummer:

9780511188954

Detailangaben zum Buch - Multiple View Geom Comp Vision 2ed


EAN (ISBN-13): 9780511188954
Erscheinungsjahr: 2004
Herausgeber: Cambridge University Press

Buch in der Datenbank seit 25.06.2009 06:34:20
Buch zuletzt gefunden am 06.03.2017 11:19:26
ISBN/EAN: 9780511188954

ISBN - alternative Schreibweisen:
978-0-511-18895-4

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