This book gives a comprehensive overview of the most advanced theories, methodologies and applications in computer vision. Particularly, it gives an extensive coverage of 3D and robotic vision problems. Example chapters featured are Fourier methods for 3D surface modeling and analysis, use of constraints for calibration-free 3D Euclidean reconstruction, novel photogeometric methods for capturing static and dynamic objects, performance evaluation of robot localization methods in outdoor terrains, integrating 3D vision with force/tactile sensors, tracking via in-floor sensing, self-calibration of camera networks, etc. Some unique applications of computer vision in marine fishery, biomedical issues, driver assistance, are also highlighted.
Face Super-Resolution (W Zou & P C Yuen); Background Estimation and Its Applications (X-Da Chen & Y-H Yang); Topic on Video Analysis or Face Recognition (S Z Li); Fourier Methods for 3D Surface Modeling and Analysis (L Shen); Cellular Automata as a Tool for Image Processing and Pattern Recognition (P L Rosin & X-F Sun); Computer Vision and Pattern Recognition in Marine Fishery Identification and Monitoring (B-C Shen & C H Chen); A Performance Evaluation of Robot Localization Methods in Outdoor Terrains (E Fazl-Ersi & J K Tsotsos); Self Calibration of Camera Networks: Active and Passive Methods (J Denzler); Quasi-Dense Wide Baseline Matching for Three Views (J Kannala); and other papers.