Published by Cambridge University Press, 2004
ISBN 10: 0521540518 ISBN 13: 9780521540513
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Published by Cambridge University Press, 2004
ISBN 10: 0521540518 ISBN 13: 9780521540513
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Published by Cambridge University Press, 2004
ISBN 10: 0521540518 ISBN 13: 9780521540513
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Published by Cambridge University Press, 2004
ISBN 10: 0521540518 ISBN 13: 9780521540513
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Published by Cambridge University Press, 2004
ISBN 10: 0521540518 ISBN 13: 9780521540513
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Published by Cambridge University Press 0, 2004
ISBN 10: 0521540518 ISBN 13: 9780521540513
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Published by Cambridge University Press, 2004
ISBN 10: 0521540518 ISBN 13: 9780521540513
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Published by Cambridge University Press, 2004
ISBN 10: 0521540518 ISBN 13: 9780521540513
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Published by Cambridge University Press, 2004
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Published by Cambridge University Press, 2004
ISBN 10: 0521540518 ISBN 13: 9780521540513
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Published by Cambridge University Press, 2004
ISBN 10: 0521540518 ISBN 13: 9780521540513
Language: English
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Published by Cambridge University Press, 2004
ISBN 10: 0521540518 ISBN 13: 9780521540513
Language: English
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Published by Cambridge University Press, 2004
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Published by Cambridge University Press, 2004
ISBN 10: 0521540518 ISBN 13: 9780521540513
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Published by Cambridge University Press, Cambridge, 2004
ISBN 10: 0521540518 ISBN 13: 9780521540513
Language: English
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Paperback. Condition: new. Paperback. 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. 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 Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Published by Cambridge University Press, 2004
ISBN 10: 0521540518 ISBN 13: 9780521540513
Language: English
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Published by Cambridge University Press CUP, 2004
ISBN 10: 0521540518 ISBN 13: 9780521540513
Language: English
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Published by Cambridge University Press, 2004
ISBN 10: 0521540518 ISBN 13: 9780521540513
Language: English
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Published by Cambridge University Press, Cambridge, 2004
ISBN 10: 0521540518 ISBN 13: 9780521540513
Language: English
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Add to basketPaperback. Condition: new. Paperback. 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. 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 Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Published by Cambridge University Press, 2004
ISBN 10: 0521540518 ISBN 13: 9780521540513
Language: English
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Add to basketPaperback. Condition: Brand New. 2nd edition. 672 pages. 9.50x7.00x0.25 inches. In Stock.
Published by Cambridge University Press, Cambridge, 2004
ISBN 10: 0521540518 ISBN 13: 9780521540513
Language: English
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Add to basketPaperback. Condition: new. Paperback. 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. 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 Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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Add to basketPaperback. Condition: Brand New. 2nd edition. 672 pages. 9.50x7.00x0.25 inches. In Stock. This item is printed on demand.
Published by Cambridge University Press, 2004
ISBN 10: 0521540518 ISBN 13: 9780521540513
Language: English
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Published by Cambridge University Press, 2004
ISBN 10: 0521540518 ISBN 13: 9780521540513
Language: English
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Published by Cambridge University Press, 2004
ISBN 10: 0521540518 ISBN 13: 9780521540513
Language: English
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Published by Cambridge University Press, 2019
ISBN 10: 0521540518 ISBN 13: 9780521540513
Language: English
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Add to basketCondition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. The theory and practice of scene reconstruction are described in detail in a unified framework. 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 .