Emerging topics in computer vision and its applications (World Scientific, 2012)
Includes bibliographical references and index
Pt. 1. Emerging theory and methodologies in computer vision. ch. 1.1. On the estimation of 3D human body models and pose from multiple cameras / Aravind Sundaresan and Rama Chellappa. ch. 1.2. Face super-resolution / Wilman W. W. Zou and Pong C. Yuen. ch. 1.3. Classification and clustering of vector space embedded graphs / Kaspar Riesen and Horst Bunke. ch. 1.4. Activity modeling and recognition using probabilistic graphical models / Xiaoyang Wang, Zhi Zeng and Qiang Ji. ch. 1.5. Background estimation and its applications / Xida Chen and Yee-Hong Yang. ch. 1.6. Nonrigid image registration using moments / Wei Liu and Eraldo Ribeiro. ch. 1.7. Nonparametric sample-based methods for image understanding / Alexander Wong ... [et al.]. ch. 1.8. A probabilistic formulation for the correspondence problem / Ron Tal and Minas E. Spetsakis --
- pt. 2. Emerging applications of computer vision. ch. 2.1. Fourier methods for 3D surface modeling and analysis / Li Shen ... [et al.]. ch. 2.2. Near infrared face recognition and eyeglasses / Stan Z. Li and Dong Yi. ch. 2.3. The phase only transform for unsupervised surface defect detection / D. Aiger and H. Talbot. ch. 2.4. Cellular automata as a tool for image processing / Paul L. Rosin and Xianfang Sun. ch. 2.5. Computer vision in marine fishery identification / Bichuan Shen and Chi Hau Chen. ch. 2.6. vehicle detection in remote sensing satellite imagery / Bichuan Shen, C.H. Chen and Giovanni Marchisio. ch. 2.7. Application of polar harmonic transforms to fingerprint classification / Manhua Liu ... [et al.]. ch. 2.8. Object correspondence networks for unsupervised recognition of identical objects / Minsu Cho, Young Min Shin and Kyoung Mu Lee --
- pt. 3. Modern systems and technology in computer vision. ch. 3.1. The use of constraints for calibration-free 3D metric reconstruction: from theory to applications / B. Boufama and S. Bouakaz / ch. 3.2. Auction-based dynamic camera grouping with active control / Bir Bhanu and Yiming Li. ch. 3.3. Novel photogeometric methods for capturing static and dynamic objects / Yi Xu and Daniel G. Aliaga. ch. 3.4. Multi-view surface reconstruction by quasi-dense wide baseline matching / Juho Kannala ... [et al.]. ch. 3.5. combining traffic sign detection with 3D tracking towards better driver assistance / Radu Timofte ... [et al.]. ch. 3.6. Self-calibration of camera networks: active and passive methods / Marcel Bruckner, Ferid Bajramovic and Joachim Denzler. ch. 3.7. A performance evaluation of robot localization methods in outdoor terrains / Ehsan Fazl-Ersi and John K. Tsotsos
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