This practical guide provides a comprehensive overview of Euclidean structure and motion recovery, with a specific focus on factorization-based algorithms. The text discusses the latest research in the field and presents new algorithms developed by the authors.
This comprehensive reference addresses the fundamental problems associated with gait and face-based human recognition, using color and infrared video data acquired from a distance. Both model-free and model-based approaches to gait-based human recognition are examined, including new techniques.
This book provides a thorough treatment of image processing with an emphasis on those aspects most used in computer graphics. The authors concentrate on describing and analyzing the underlying concepts rather than on presenting algorithms or pseudocode.
Using minimal mathematics, this book reviews core concepts and methods of image processing and video processing, focusing on methods for designing and implementing real image data processiong systems. Coverage ranges from image acquisition to visual effects.
Based on contributions to the International Workshop on Machine Learning for Vision-Based Motion Analysis, this volume highlights the latest algorithms and systems for robust and effective vision-based motion understanding.