Sinossi
How to reconstruct scenes from images using geometry and algebra, with applications to computer vision.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
Recensione
'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
Descrizione del libro
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 significant new results which have appeared since the first edition.
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
Altre edizioni note dello stesso titolo
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Multiple View Geometry in Computer Vision
Editore:
Cambridge University Press, 2004
ISBN 10: 0521540518
ISBN 13: 9780521540513
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Soft cover
Da: Grey Matter Books, Hadley, MA, U.S.A.
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Soft cover. Condizione: Fine. Fine copy, 670pp, minute crease to bottom front corner, bright pages, unmarked. Codice articolo 005173
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Multiple View Geometry in Computer Vision
Editore:
Cambridge University Press (edition 2), 2004
ISBN 10: 0521540518
ISBN 13: 9780521540513
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Paperback
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Paperback. Condizione: Very Good. 2. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting. Codice articolo 0521540518-8-1
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Multiple View Geometry in Computer Vision
Editore:
Cambridge University Press, 2004
ISBN 10: 0521540518
ISBN 13: 9780521540513
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Da: Goodwill, Brooklyn Park, MN, U.S.A.
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Condizione: very_good. Item may have minor cosmetic defects such as marks, wears, cuts, bends, or crushes on the cover, spine, pages, or dust cover. Shrink wrap, dust covers, or boxed set case may be missing. Item may contain remainder marks on outside edges, which should be noted in listing comments. Item may be missing bundled media. Codice articolo MINV.0521540518.VG
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Multiple View Geometry in Computer Vision
Editore:
Cambridge University Press, 2004
ISBN 10: 0521540518
ISBN 13: 9780521540513
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paperback
Da: CampusBear, Coppell, TX, U.S.A.
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paperback. Condizione: Good. Normal wear from daily use. May include markings or highlighting. Codice articolo 05J06017C00059U
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Multiple View Geometry in Computer Vision
Editore:
Cambridge University Press, 2004
ISBN 10: 0521540518
ISBN 13: 9780521540513
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Brossura
Da: Better World Books Ltd, Dunfermline, Regno Unito
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Condizione: Good. Former library copy. Pages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Includes library markings. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good. Codice articolo GRP89356969
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Multiple View Geometry in Computer Vision Second Edition
Editore:
Cambridge University Press, 2004
ISBN 10: 0521540518
ISBN 13: 9780521540513
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Da: WeBuyBooks, Rossendale, LANCS, Regno Unito
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Condizione: Very Good. Most items will be dispatched the same or the next working day. A copy that has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged. Codice articolo rev5321340915
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Multiple View Geometry in Computer Vision Second Edition
Editore:
Cambridge University Press, 2004
ISBN 10: 0521540518
ISBN 13: 9780521540513
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Paperback
Da: Brit Books, Milton Keynes, Regno Unito
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Paperback. Condizione: Used; Good. ***Simply Brit*** Welcome to our online used book store, where affordability meets great quality. Dive into a world of captivating reads without breaking the bank. We take pride in offering a wide selection of used books, from classics to hidden gems, ensuring there is something for every literary palate. All orders are shipped within 24 hours and our lightning fast-delivery within 48 hours coupled with our prompt customer service ensures a smooth journey from ordering to delivery. Discover the joy of reading with us, your trusted source for affordable books that do not compromise on quality. Codice articolo 4377966
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Multiple View Geometry in Computer Vision
Da: GreatBookPrices, Columbia, MD, U.S.A.
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Condizione: New. Codice articolo 1748415-n
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Multiple View Geometry in Computer Vision
Editore:
Cambridge University Press, 2004
ISBN 10: 0521540518
ISBN 13: 9780521540513
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Da: GoldBooks, Denver, CO, U.S.A.
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Paperback. Condizione: new. New Copy. Customer Service Guaranteed. Codice articolo 28Y74_24_0521540518
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Multiple View Geometry in Computer Vision
Editore:
Cambridge University Press, GB, 2004
ISBN 10: 0521540518
ISBN 13: 9780521540513
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Paperback
Da: Rarewaves.com USA, London, LONDO, Regno Unito
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Paperback. Condizione: New. 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. Codice articolo LU-9780521540513
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