Handbook of Geometric Computing

This handbook addresses a broad audience of applied mathematicians, physicists, computer scientists, and engineers, bringing together under a single cover the most recent advances in the applications of geometric computing in the most important fields related to building perception action systems: computer vision, robotics, image processing and understanding, pattern recognition, computer graphics, quantum computers, brain theory and neural networks.Various kinds of problems in these fields have been tackled using promising geometric methods, but such efforts have been mostly confined to specific disciplines. In this book we introduce diverse, powerful geometric methods in a unified manner, covering geometry theory and geometric computing methods related to the design of perception and action systems, intelligent autonomous systems and intelligent machines.The book is suitable for postgraduate students and researchers working on the design of intelligent systems.

Author Biography

Researcher in geometric computing for cognitive systems Full Professor at the Computer Science Department of the Center of Research and Advanced Studies CINVESTAV, Guadalajara, Mexico Author and editor of books on geometric computing for computer science and engineering, reviewer, chair and active organiser of workshops and conferences on geometric computing for fields related to the design and building of perception action systems. Areas of research interest: pattern recognition, computer vision, neurocomputing, robotics, multidimensional image analysis, applications of Lie algebras and Clifford geometric algebra to cognitive systems.