Isbn: 9780521540513 - multiple view geom comp vision 2ed (8 Ergebnisse)

Zustand: Acceptable. Item in acceptable condition! Textbooks may not include supplemental items i.e. CDs, access codes etc.

SOFTCOVER. Zustand: Very Good. 2nd Edition. Octavo softcover; 655 pp. Blue pictorial wraps; b/w and color figures. Tight binding, clean throughout. Mild edge wear. Very Good.

Broschiert. Zustand: Gut. 2. Edition.. 655 Seiten Das hier angebotene Buch stammt aus einer teilaufgelösten Bibliothek und kann die entsprechenden Kennzeichnungen aufweisen (Rückenschild, Instituts-Stempel.); der Buchzustand ist ansonsten ordentlich und dem Alter entsprechend gut. In ENGLISCHER Sprache. Sprache: Englisch Gewicht in Gramm: 1460.…

Zustand: New. In English.

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.…

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

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.…

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.…