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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...
| Clasificación: | Libro Electrónico |
|---|---|
| Autores principales: | , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Cambridge, UK ; New York :
Cambridge University Press,
2004.
|
| Edición: | Second edition. |
| Temas: | |
| Acceso en línea: | Texto completo |
MARC
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| 100 | 1 | |a Hartley, Richard, |e author. | |
| 245 | 1 | 0 | |a Multiple view geometry in computer vision / |c Richard Hartley, Andrew Zisserman. |
| 250 | |a Second edition. | ||
| 264 | 1 | |a Cambridge, UK ; |a New York : |b Cambridge University Press, |c 2004. | |
| 264 | 4 | |c ©2003 | |
| 300 | |a 1 online resource (xvi, 655 pages) : |b illustrations (some color) | ||
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| 520 | |a 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.-- |c Provided by publisher. | ||
| 504 | |a Includes bibliographical references (pages 634-645) and index. | ||
| 505 | 0 | |a Introduction-a tour of multiple view geometry -- Projective geometry and transformations of 2D -- Projective geometry and transformations of 3D -- Estimation-2D projective transformations -- Algorithm evaluation and error analysis -- Camera models -- Computation of the camera matrix P -- More single view geometry -- Epipolar geometry and the fundamental matrix -- 3D reconstruction of cameras and structure -- Computation of the fundamental matrix F -- Structure computation -- Scene planes and homographies -- Affine epipolar geometry -- The trifocal tensor -- Computation of the trifocal tensor T -- N-Linearities and multiple view tensors -- N-View computational methods -- Auto-calibration -- Duality -- Cheirality -- Degenerate configurations. | |
| 588 | 0 | |a Print version record. | |
| 590 | |a eBooks on EBSCOhost |b EBSCO eBook Subscription Academic Collection - Worldwide | ||
| 650 | 0 | |a Computer vision. | |
| 650 | 0 | |a Geometry, Projective. | |
| 650 | 6 | |a Vision par ordinateur. | |
| 650 | 6 | |a Géométrie projective. | |
| 650 | 7 | |a COMPUTERS |x Computer Vision & Pattern Recognition. |2 bisacsh | |
| 650 | 7 | |a Computer vision. |2 blmlsh | |
| 650 | 7 | |a Geometry, Projective. |2 blmlsh | |
| 650 | 7 | |a Computer vision |2 fast | |
| 650 | 7 | |a Geometry, Projective |2 fast | |
| 700 | 1 | |a Zisserman, Andrew, |e author. | |
| 776 | 0 | 8 | |i Print version: |a Hartley, Richard. |t Multiple view geometry in computer vision. |b 2nd ed. |d Cambridge, UK ; New York : Cambridge University Press, 2003 |z 0521540518 |w (DLC) 2004557531 |w (OCoLC)52783638 |
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