Multiple view geometry in computer vision:
Gespeichert in:
Bibliographische Detailangaben
1. Verfasser: Hartley, Richard (VerfasserIn)
Format: Elektronisch E-Book
Sprache:English
Veröffentlicht: Cambridge, UK Cambridge University Press 2003
Ausgabe:2nd ed
Schlagworte:
Online-Zugang:FAW01
FAW02
Volltext
Beschreibung:Includes bibliographical references (pages 634-645) and index
Cover -- Title -- Copyright -- Dedication -- Contents -- Foreword -- Preface -- 1 Introduction ... a Tour of Multiple View Geometry -- 1.1 Introduction ... the ubiquitous projective geometry -- 1.1.1 Affine and Euclidean Geometry -- 1.2 Camera projections -- 1.3 Reconstruction from more than one view -- 1.4 Three-view geometry -- 1.5 Four view geometry and n-view reconstruction -- 1.6 Transfer -- 1.7 Euclidean reconstruction -- 1.8 Auto-calibration -- 1.9 The reward I : 3D graphical models -- 1.10 The reward II: video augmentation -- Part 0 The Background: Projective Geometry, Transformations and Estimation -- Outline -- 2 Projective Geometry and Transformations of 2D -- 2.1 Planar geometry -- 2.2 The 2D projective plane -- 2.3 Projective transformations -- 2.4 A hierarchy of transformations -- 2.5 The projective geometry of 1D -- 2.6 Topology of the projective plane -- 2.7 Recovery of affine and metric properties from images -- 2.8 More properties of conics --
- 2.9 Fixed points and lines -- 2.10 Closure -- 3 Projective Geometry and Transformations of 3D -- 3.1 Points and projective transformations -- 3.2 Representing and transforming planes, lines and quadrics -- 3.3 Twisted cubics -- 3.4 The hierarchy of transformations -- 3.5 The plane at infinity -- 3.6 The absolute conic -- 3.7 The absolute dual quadric -- 3.8 Closure -- 4 Estimation ... 2D Projective Transformations -- 4.1 The Direct Linear Transformation (DLT) algorithm -- 4.2 Different cost functions -- 4.3 Statistical cost functions and Maximum Likelihood estimation -- 4.4 Transformation invariance and normalization -- 4.5 Iterative minimization methods -- 4.6 Experimental comparison of the algorithms -- 4.7 Robust estimation -- 4.8 Automatic computation of a homography -- 4.9 Closure -- 5 Algorithm Evaluation and Error Analysis -- 5.1 Bounds on performance -- 5.2 Covariance of the estimated transformation -- 5.3 Monte Carlo estimation of covariance -- 5.4 Closure --
- Part I Camera Geometry and Single View Geometry -- Outline -- 6 Camera Models -- 6.1 Finite cameras -- 6.2 The projective camera -- 6.3 Cameras at infinity -- 6.4 Other camera models -- 6.5 Closure -- 7 Computation of the Camera Matrix P -- 7.1 Basic equations -- 7.2 Geometric error -- 7.3 Restricted camera estimation -- 7.4 Radial distortion -- 7.5 Closure -- 8 More Single View Geometry -- 8.1 Action of a projective camera on planes, lines, and conics -- 8.2 Images of smooth surfaces -- 8.3 Action of a projective camera on quadrics -- 8.4 The importance of the camera centre -- 8.5 Camera calibration and the image of the absolute conic -- 8.6 Vanishing points and vanishing lines -- 8.7 Affine 3D measurements and reconstruction -- 8.8 Determining camera calibration K from a single view -- 8.9 Single view reconstruction -- 8.10 The calibrating conic -- 8.11 Closure -- Part II Two-View Geometry -- Outline -- 9 Epipolar Geometry and the Fundamental Matrix -- 9.1 Epipolar geometry --
- 9.2 The fundamental matrix F -- 9.3 Fundamental matrices arising from special mot
Beschreibung:1 Online-Ressource (xvi, 655 pages)
ISBN:0511184514
0511185359
0511186185
0511187114
0511811683
0521540518
9780511184512
9780511185359
9780511186189
9780511187117
9780511811685
9780521540513

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