- Home >
- All Publications >
- All Books >
- Series in Computer Vision >
- Emerging Topics in Computer Vision and its Applications
This Book

508pp Sep 2011
Series in Computer Vision: Volume 1
Emerging Topics in Computer Vision and its Applications
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.
Sample Chapter(s)
Chapter 1.1: On the Estimation of 3D Human Body Models and Pose from Multiple Cameras (4,571 KB)
Contents:
- Emerging Theory and Methodologies in Computer Vision:
- On the Estimation of 3D Human Body Models and Pose from Multiple Cameras (Aravind Sundaresan and Rama Chellappa)
- Face Super-Resolution (Wilman W W Zou and Pong C Yuen)
- Classification and Clustering of Vector Space
- Activity Modeling and Recognition Using Probabilistic Graphical Models (Xiaoyang Wang, Zhi Zeng and Qiang Ji)
- Background Estimation and Its Applications (Xida Chen and Yee-Hong Yang)
- Nonrigid Image Registration Using Moments (Wei Liu and Eraldo Ribeiro)
- Nonparametric Sample-Based Methods for Image Understanding (Alexander Wong, Akshaya Mishra, David A Clausi and Paul W Fieguth)
- A Probabilistic Formulation for the Correspondence Problem (Ron Tal and Minas E Spetsakis)
- Emerging Applications of Computer Vision:
- Fourier Methods for 3D Surface Modeling and Analysis (Li Shen, Sungeun Kim, Jing Wan, John D West and Andrew J Saykin)
- Near Infrared Face Recognition and Eyeglasses (Stan Z Li and Dong Yi)
- The Phase Only Transform for Unsupervised Surface
- Cellular Automata as a Tool for Image Processing (Paul L Rosin and Xianfang Sun)
- Computer Vision in Marine Fishery Identification (Bichuan Shen and Chi Hau Chen)
- Vehicle Detection in Remote Sensing Satellite Imagery (Bichuan Shen, C H Chen and Giovanni Marchisio)
- Application of Polar Harmonic Transforms to Fingerprint Classification (Manhua Liu, Xudong Jiang, Alex Chichung Kot and Pew-Thian Yap)
- Object Correspondence Networks for Unsupervised Recognition of Identical Objects (Minsu Cho, Young Min Shin and Kyoung Mu Lee)
- Modern Systems and Technology in Computer Vision:
- The Use of Constraints for Calibration-Free 3D Metric Reconstruction: From Theory to Applications (B Boufama and S Bouakaz)
- Auction-Based Dynamic Camera Grouping with Active Control (Bir Bhanu and Yiming Li)
- Novel Photogeometric Methods for Capturing Static and Dynamic Objects (Yi Xu and Daniel G Aliaga)
- Multi-View Surface Reconstruction by Quasi-Dense Wide Baseline Matching (Juho Kannala, Markus Ylimäki, Pekka Koskenkorva and Sami S Brandt)
- Combining Traffic Sign Detection with 3D Tracking Towards Better Driver Assistance (Radu Timofte, Victor Adrian Prisacariu, Luc Van Gool and Ian Reid)
- Self-Calibration of Camera Networks: Active and Passive Methods (Marcel Brückner, Ferid Bajramovic and Joachim Denzler)
- A Performance Evaluation of Robot Localization Methods in Outdoor Terrains (Ehsan Fazl-Ersi and John K Tsotsos)
Readership: Researchers, professionals and academics in pattern recognition and image analysis, robotics & automation, software engineering, numerical and computational mathematics, and computer engineering.
Chi Hau Chen received his Ph.D. in electrical engineering from Purdue University in 1965, MSEE degree from University of Tennessee, Knoxville in 1962 and BSEE degree from National Taiwan University in 1959. He is currently Chancellor Professor and Professor Emeriti of electrical and computer engineering, at the University of Massachusetts Dartmouth, where he has taught since 1968. His research areas are in statistical pattern recognition and signal/image processing with applications to remote sensing, geophysical, underwater acoustics & nondestructive testing problems; as well computer vision for video surveillance; time series analysis; and neural networks.
Dr. Chen has published (edited and authored) 30 books in his areas of research, including a number of books published by World Scientific Publishing. He was Associate Editor for International Journal of Pattern Recognition and Artificial Intelligence from 1986–2008. Since 2008 he has been an Editorial Board Member of Pattern Recognition Journal. Currently he is also the Series Editor in Computer Vision for World Scientific Publishing.
Dr. Chen has been a Fellow of the Institute of Electrical and Electronic Engineers (IEEE) since 1988, a Life Fellow of the IEEE since 2003, Fellow of the International Association of Pattern Recognition (IAPR) since 1996, full member of the Academia NDT International since 200 and on the Fulbright Specialist Program since 2008.
Related Books


