9780521540513 - Multiple View Geom Comp Vision 2ed von Hartley, Richard; Zisserman, Andrew (7 Ergebnisse)

Zustand: 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.

Paperback. Zustand: Very Good. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.

Zustand: New. In.

Paperback. Zustand: Brand New. 2nd edition. 672 pages. 9.50x7.00x0.25 inches. In Stock.

Paperback. Zustand: Sehr gut. Gebraucht - Sehr gut SG - leichte Beschädigungen oder Verschmutzungen, ungelesenes Mängelexemplar, gestempelt - 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.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.

Zustand: New. 2004. 2nd Edition. Paperback. How to reconstruct scenes from images using geometry and algebra, with applications to computer vision. Num Pages: 670 pages, 36 colour illus. 35 tables 124 exercises. BIC Classification: TJFM1; UYQV. Category: (P) Professional & Vocational. Dimension: 246 x 175 x 30. Weight in Grams: 1296. 672 pages, 36 colour illus. 35 tables 124 exercises. How to reconstruct scenes from images using geometry and algebra, with applications to computer vision. Cateogry: (P) Professional & Vocational. BIC Classification: TJFM1; UYQV. Dimension: 246 x 175 x 30. Weight: 1308. . . . . . Books ship from the US and Ireland.