Chapter 1 Introduction 1.1 Introduction to Computer Vision 1.2 Computer Vision Theory and Framework 1.3 Introduction to Image Engineering 1.4 Introduction to Deep Learning 1.5 Organization and Content of This Book Chapter 2 Camera Imaging and Calibration 2.1 Lightness Imaging Model 2.2 Space Imaging Model 2.
3 Camera Calibration Model 2.4 Camera Calibration Methods Chapter 3 Depth Image Acquisition 3.1 Depth Image and Depth Imaging 3.2 Direct Depth Imaging 3.3 Indirect Depth Imaging 3.4 Single-Pixel Depth Imaging 3.5 Biocular Vision and Stereopsis Vision Chapter 4 Binocular Stereo Vision 4.1 Region-Based Binocular Stereo Matching 4.
2 Feature-Based Binocular Stereo Matching 4.3 Parallax Map Error Detection and Correction 4.4 Stereo Matching Based on Deep Learning Chapter 5 Multi-Ocular Stereo Vision 5.1 Horizontal Multi-Ocular Stereo Matching 5.2 Orthogonal Trinocular Stereo Matching 5.3 Multi-Ocular Stereo Matching 5.4 Equal Baseline Multiple Camera Set 5.5 Single Camera Multi-Mirror Catadioptric System Chapter 6 Monocular Multi-Image Scene Restoration 6.
1 Monocular Image Scene Restoration 6.2 Shape from Illumination 6.3 Shape from Motion 6.4 Shape from Segmented Contour 6.5 Photometric Stereo Review 6.6 GAN-Based Photometric Stereo Chapter 7 Monocular Single-Image Scene Restoration 7.1 Shape from Shading 7.2 Shape from Texture 7.
3 Shape from Focus 7.4 Estimating Pose from Perspective Three-Point 7.5 Shape from Shading in Hybrid Surface Perspective Projection Chapter 8 Point Cloud Data Processing 8.1 Point Cloud Data Overview 8.2 Point Cloud Data Preprocessing 8.3 Laser Point Cloud 3D Modeling 8.4 Texture Mapping for 3D Models 8.5 Point Cloud Feature Description 8.
6 Point Cloud Understanding and Deep Learning 8.7 Bionic Optimized Registration of Point Clouds Chapter 9 Simultaneous Location and Mapping 9.1 SLAM Overview 9.2 Laser SLAM Algorithms 9.3 Visual SLAM Algorithms 9.4 Swarm Robots and Swarm SLAM 9.5 Some New Trends of SLAM Chapter 10 Generalized Matching 10.1 Introduction to Matching 10.
2 Object Matching 10.3 Dynamic Pattern Matching 10.4 Matching and Registration 10.5 Relationship Matching 10.6 Graph Isomorphism Matching 10.7 Labelling and Matching of Line Drawing 10.8 Multimodal Image Matching Chapter 11 Understanding of Spatial-Temporal Behavior 11.1 Spat.