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Multiple view geometry in computer vision / Richard Hartley (Australian National University, Canberra, Australia), Andrew Zisserman (University of Oxford, UK)

By: Contributor(s): Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Publisher: Cambridge : Cambridge University Press, 2004Distributor: Cambridge : Cambridge University Press, 2011Edition: Second editionDescription: 1 Online-Ressource (xvi, 655 Seiten)ISBN:
  • 9780511188954
  • 9780511811685
Subject(s): Additional physical formats: 9780521540513 | Erscheint auch als: Multiple view geometry in computer vision. Druck-Ausgabe Second edition. Cambridge : Cambridge University Press, 2003. xvi, 655 SeitenDDC classification:
  • 006.37
  • 006.3/7 22
MSC: MSC: *68T45 | 68U10 | 68U05 | 51N15 | 68-01RVK: RVK: SK 380 | ST 330LOC classification:
  • TA1634
DOI: DOI: 10.1017/CBO9780511811685Online resources: Summary: 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 bookPPN: PPN: 165928886XPackage identifier: Produktsigel: ZDB-20-CBO | ZDB-20-CTM
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