Handbook of Geometric Computing: Applications in Pattern Recognition, Computer Vision, Neuralcomputing, and Robotics

ISBN 10: 3540205950 / ISBN 13: 9783540205951

Edité par Springer, 2005

A propos de cet article

N° de réf. du vendeur I-9783540205951

Détails bibliographiques

• Titre: Handbook of Geometric Computing: Applications in Pattern Recognition, Computer Vision, Neuralcomputing, and Robotics
• Éditeur: Springer
• Date de parution: 2005
• Langue: anglais
• ISBN à 10 chiffres: 3540205950
• ISBN à 13 chiffres: 9783540205951
• Reliure: Couverture rigide
• État de l'article: New

A propos de ce titre

Synopsis

This handbook brings together the most recent advances in the application of geometric computing to the most important fields related to the endeavor of building perception action systems: computer vision, robotics, image processing and understanding, pattern recognition, computer graphics, quantum computers, brain theory and neural networks. Coverage introduces 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. It is aimed at a broad audience of applied mathematicians, physicists, computer scientists, and engineers. The book is ideal for specialists working in a particular field or for those who are interested in procedures for dealing with concurrent techniques of different fields such as the design of perception action systems.

À propos de l?auteur

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.