3-D Computer Vision

TRAMA

This textbook offers advanced content on computer vision (basic content can be found in its prerequisite textbook, “2D Computer Vision: Principles, Algorithms and Applications”), including the basic principles, typical methods and practical techniques. It is intended for graduate courses on related topics, e.g. Computer Vision, 3-D Computer Vision, Graphics, Artificial Intelligence, etc. The book is mainly based on my lecture notes for several undergraduate and graduate classes I have offered over the past several years, while a number of topics stem from my research publications co-authored with my students. This book takes into account the needs of learners with various professional backgrounds, as well as those of self-learners. Furthermore, it can be used as a reference guide for practitioners and professionals in related fields.  To aid in comprehension, the book includes a wealth of self-test questions (with hints and answers). On the one hand, these questions help teachers to carry out online teaching and interact with students during lectures; on the other, self-learners can use them to assess whether they have grasped the key content.

SOMMARIO

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           

AUTORE

Yu-Jin ZHANG received his Ph.D. in Applied Science from the State University of Liège, Liège, Belgium, in 1989. From 1989 to 1993, he was a postdoctoral fellow and research fellow at the Delft University of Technology, Delft, the Netherlands. In 1993, he joined the Department of Electronic Engineering, Tsinghua University, Beijing, China, where he has been a Professor (since 1997) and tenured Professor (since 2014) of Image Engineering.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).

ALTRE INFORMAZIONI

• Condizione: Nuovo
• ISBN: 9789811975790
• Dimensioni: 235 x 155 mm Ø 942 gr
• Formato: Copertina rigida
• Illustration Notes: XIII, 448 p. 229 illus., 184 illus. in color.
• Pagine Arabe: 448
• Pagine Romane: xiii