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[null,"1.","Record Nr.",null,"UNINA9910457575503321"]
[null,null,"Autore",null,"Hartley Richard"]
[null,null,"Titolo",null,"Multiple view geometry in computer vision / / Richard Hartley, Andrew Zisserman [[electronic resource]]"]
[null,null,"Pubbl/distr/stampa",null,"Cambridge : , : Cambridge University Press, , 2003"]
[null,null,"ISBN",null,"1-107-14169-9"]
[{"$nulls":4},"1-139-63612-X"]
[{"$nulls":4},"1-280-45812-7"]
[{"$nulls":4},"0-511-18451-4"]
[{"$nulls":4},"9786610458127"]
[{"$nulls":4},"0-511-18535-9"]
[{"$nulls":4},"0-511-18711-4"]
[{"$nulls":4},"0-511-31333-0"]
[{"$nulls":4},"0-511-81168-3"]
[{"$nulls":4},"0-511-18618-5"]
[null,null,"Edizione",null,"[Second edition.]"]
[null,null,"Descrizione fisica",null,"1 online resource (xvi, 655 pages) : digital, PDF file(s)"]
[null,null,"Disciplina",null,"006.3/7"]
[null,null,"Soggetti",null,"Computer vision"]
[{"$nulls":4},"Geometry, Projective"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Title from publisher's bibliographic system (viewed on 05 Oct 2015)."]
[null,null,null,"Nota di bibliografia","Includes bibliographical references (p. 634-645) and index."]
[null,null,"Nota di contenuto",null,"Cover; Title; Copyright; Dedication; Contents; Foreword; Preface; 1 Introduction - a Tour of Multiple View Geometry; Part 0 The Background: Projective Geometry, Transformations and Estimation; Part I Camera Geometry and Single View Geometry; Part II Two-View Geometry; Part III Three-View Geometry; Part IV N-View Geometry; Part V Appendices; Bibliography; Index"]
[null,null,null,"Sommario/riassunto","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 "]
[{"$nulls":4},"(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."]