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3D Computer Vision : Efficient Methods and Applications.

Author: Christian Wöhler
Publisher: Dordrecht : Springer, 2013.
Series: X.media.publishing.
Edition/Format:   eBook : Document : English : 2nd edView all editions and formats
Database:WorldCat
Summary:
This indispensable text introduces the foundations of three-dimensional computer vision and describes recent contributions to the field. Fully revised and updated, this much-anticipated new edition reviews a range of triangulation-based methods, including linear and bundle adjustment based approaches to scene reconstruction and camera calibration, stereo vision, point cloud segmentation, and pose estimation of  Read more...
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Genre/Form: Electronic books
Additional Physical Format: Print version:
Wöhler, Christian.
3D Computer Vision : Efficient Methods and Applications.
Dordrecht : Springer, ©2013
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Christian Wöhler
ISBN: 9781447141501 1447141504
OCLC Number: 821881217
Notes: 2.1.1 General Overview.
Description: 1 online resource (389 pages).
Contents: 3D Computer Vision; Preface; Acknowledgements; Contents; Part I: Methods of 3D Computer Vision; Chapter 1: Triangulation-Based Approaches to Three-Dimensional Scene Reconstruction; 1.1 The Pinhole Model; 1.2 Geometric Aspects of Stereo Image Analysis; 1.2.1 Euclidean Formulation of Stereo Image Analysis; 1.2.2 Stereo Image Analysis in Terms of Projective Geometry; 1.2.2.1 Definition of Coordinates and Camera Properties; 1.2.2.2 The Essential Matrix; 1.2.2.3 The Fundamental Matrix; 1.2.2.4 Projective Reconstruction of the Scene; 1.3 The Bundle Adjustment Approach. 1.4 Geometric Calibration of Single and Multiple Cameras1.4.1 Methods for Intrinsic Camera Calibration; 1.4.2 The Direct Linear Transform (DLT) Method; 1.4.3 The Camera Calibration Method by Tsai (1987); 1.4.4 The Camera Calibration Method by Zhang (1999a); 1.4.5 The Camera Calibration Toolbox by Bouguet (2007); 1.4.6 Self-calibration of Camera Systems from Multiple Views of a Static Scene; 1.4.6.1 Projective Reconstruction: Determination of the Fundamental Matrix; 1.4.6.2 Metric Self-calibration; The Basic Equations for Self-calibration and Methods for Their Solution. 1.4.6.3 Self-calibration Based on Vanishing Points1.4.7 Semi-automatic Calibration of Multiocular Camera Systems; 1.4.7.1 The Calibration Rig; 1.4.7.2 Existing Algorithms for Extracting the Calibration Rig; 1.4.7.3 A Graph-Based Rig Extraction Algorithm; Outline of the Rig Finding Algorithm; Definition of the Graph; Extraction of Corner Candidates; Candidate Filter and Graph Construction; Non-bidirectional Edge Elimination; Edge Circle Filter; Edge Length Filter; Corner Enumeration; Notch Direction Detector; Rig Direction; 1.4.7.4 Discussion; 1.4.8 Accurate Localisation of Chequerboard Corners. 1.4.8.1 Different Types of Calibration Targets and Their Localisationin Images1.4.8.2 A Model-Based Method for Chequerboard Corner Localisation; 1.4.8.3 Experimental Evaluation; 1.4.8.4 Discussion; 1.5 Stereo Image Analysis in Standard Geometry; 1.5.1 Image Rectification According to Standard Geometry; 1.5.2 The Determination of Corresponding Points; 1.5.2.1 Correlation-Based Blockmatching Stereo Vision Algorithms; 1.5.2.2 Feature-Based Stereo Vision Algorithms; General Overview; A Contour-Based Stereo Vision Algorithm; 1.5.2.3 Dense Stereo Vision Algorithms. 1.5.2.4 Model-Based Stereo Vision Algorithms1.5.2.5 Spacetime Stereo Vision and Scene Flow Algorithms; General Overview; Local Intensity Modelling; 1.6 Resolving Stereo Matching Errors due to Repetitive Structures Using Model Information; 1.6.1 Plane Model; 1.6.1.1 Detection and Characterisation of Repetitive Structures; 1.6.1.2 Determination of Model Parameters; 1.6.2 Multiple-plane Hand-Arm Model; 1.6.3 Decision Feedback; 1.6.4 Experimental Evaluation; 1.6.5 Discussion; Chapter 2: Three-Dimensional Pose Estimation and Segmentation Methods; 2.1 Pose Estimation of Rigid Objects.
Series Title: X.media.publishing.

Abstract:

This indispensable text introduces the foundations of three-dimensional computer vision and describes recent contributions to the field. Fully revised and updated, this much-anticipated new edition reviews a range of triangulation-based methods, including linear and bundle adjustment based approaches to scene reconstruction and camera calibration, stereo vision, point cloud segmentation, and pose estimation of rigid, articulated, and flexible objects. Also covered are intensity-based techniques that evaluate the pixel grey values in the image to infer three-dimensional scene structure, and poi.

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