He is active in education on and research into image engineering (including image processing, image analysis, and image understanding) and has published more than 550 research papers and more than 50 books in this field.

He has served as program chair of the "Twenty-Fourth International Conference on Image Processing (ICIP'2017)" and several other international conferences. He is the Honorary Chairman of Supervisors (since 2020) of CSIG, a Fellow of SPIE (since 2011) and a Fellow of CSIG (since 2019).

Focuses on advanced computer vision and image understanding technologies

Offers extensive content and intuitive explanations

Includes a wealth of pictures, real-world examples and self-test questions

Chapter 1Introduction

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 2Camera 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 4Video and Motion Information

4.1 Video Basic

4.2 Motion Classification and Representation

4.3 Motion Information Detection

Chapter 5Moving Object Detection and Tracking

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

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 AVisual Perception

A.1 Shape Perception

A.2 Spatial Perception

A.3 Motion Perception