Isbn: 9780521540513 - Multiple View Geometry in Computer Vision Second Edition (32 results)

Condition: Acceptable. Readable, but has significant damage / tears. Has a remainder mark. paperback Used - Acceptable 2004.

paperback. Condition: Good. Normal wear from daily use. May include markings or highlighting.

SOFTCOVER. Condition: 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.

Paperback. Condition: 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.…

Broschiert. Condition: 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.…

Soft cover. Condition: New. 2nd Edition.

Condition: New.

Paperback. Condition: 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.…

Paperback. Condition: new. New Copy. Customer Service Guaranteed.

Condition: As New. Unread book in perfect condition.

paperback. Condition: New. In shrink wrap. Looks like an interesting title.

Paperback. Condition: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

Paperback. Condition: New.

Condition: As New. Unread book in perfect condition.

Condition: New. In English.

Condition: New.

Condition: New.

Paperback. Condition: 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.…

Condition: New. pp. xvi + 655 2nd Edition.

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

Paperback. Condition: 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.…

Condition: 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. …

Condition: 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. . . . . . …

Taschenbuch. Condition: 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.…

Condition: Good. Used books cannot guarantee unused access codes or working CD's.

Paperback. Condition: new. Paperback. 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. 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. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Paperback. Condition: new. Paperback. 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. 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. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Condition: New. Print on Demand pp. xvi + 655 Illus. This item is printed on demand.

Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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 .…

Condition: New. PRINT ON DEMAND pp. xvi + 655.