3-D Computer Vision : Principles, Algorithms and Applications
3-D Computer Vision : Principles, Algorithms and Applications
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Author(s): Zhang, Yu-Jin
ISBN No.: 9789811975820
Pages: xiii, 448
Year: 202402
Format: Trade Paper
Price: $ 89.69
Dispatch delay: Dispatched between 7 to 15 days
Status: Available

Chapter 1 Introduction 1.1 Human Vision and Characteristics 1.2 Computer Vision Theory and Model 1.3 3D Vision System and Image Technology 1.4 Book Overview Chapter 2 Camera Calibration 2.1 Linear Camera Model 2.2 Non-Linear Camera Model 2.3 Traditional Calibration Methods 2.


4 Self-Calibration Methods Chapter 3 3D Image Acquisition 3.1 High-Dimensional Image 3.2 Depth Image 3.3 Direct Depth Imaging 3.4 Stereo Vision Imaging Chapter 4 Video and Motion Information 4.1 Video Basic 4.2 Motion Classification and Representation 4.3 Motion Information Detection 4.


4 Motion-Based Filtering Chapter 5 Moving Object Detection and Tracking 5.1 Differential Image 5.2 Background Modeling 5.3 Optical Flow Field and Motion 5.4 Moving Object Tracking Chapter 6 Binocular Stereo Vision 6.1 Stereo Vision Process and Modules 6.2 Region-Based Stereo Matching 6.3 Feature-Based Stereo Matching 6.


4 Error Detection and Correction of Parallax Map Chapter 7 Monocular Multiple Image Reconstruction 7.1 Photometric Stereo 7.2 Shape from Illumination 7.3 Optical Flow Equation 7.4 Shape from Motion Chapter 8 Monocular Single Image Reconstruction 8.1 Shape from Shading 8.2 Solving Brightness Equation 8.3 Shape from Texture 8.


4 Detection of Texture Vanishing Points Chapter 9 3-D Scene Representation 9.1 Local Features of the Surface 9.2 3-D Surface Representation 9.3 Construction and Representation of Iso-Surfaces 9.4 Interpolate 3-D Surfaces from Parallel Contours 9.5 3-D Entity Representation Chapter 10 Scene Matching 10.1 Matching Overview 10.2 Object Matching 10.


3 Dynamic Pattern Matching 10.4 Graph Theory and Graph Matching 10.5 Line Drawing Signature and Matching Chapter 11 Knowledge and Scene Interpretation 11.1 Scene Knowledge 11.2 Logic System 11.3 Fuzzy Reasoning 11.4 Scene Classification Chapter 12 Spatial-Temporal Behavior Understanding 12.1 Spatial-Temporal Technology 12.


2 Spatial-Temporal Interest Point Detection 12.3 Spatial-Temporal Dynamic Trajectory Learning and Analysis 12.4 Spatial-Temporal Action Classification and Recognition Appendix A Visual Perception A.1 Shape Perception A.2 Spatial Perception A.3 Motion Perception Self-Test Questions Answers to Self-Test Questions Bibliography Subject Index.


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