Handbook of Geometric Computing
Applications in Pattern Recognition, Computer Vision, Neuralcomputing, and Robotics
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Beschreibung
Many computer scientists, engineers, applied mathematicians, and physicists use geometry theory and geometric computing methods in the design of perception-action systems, intelligent autonomous systems, and man-machine interfaces. This handbook brings together the most recent advances in the application of geometric computing for building such systems, with contributions from leading experts in the important fields of neuroscience, neural networks, image processing, pattern recognition, computer vision, uncertainty in geometric computations, conformal computational geometry, computer graphics and visualization, medical imagery, geometry and robotics, and reaching and motion planning. For the first time, the various methods are presented in a comprehensive, unified manner.
This handbook is highly recommended for postgraduate students and researchers working on applications such as automated learning; geometric and fuzzy reasoning; human-like artificial vision; tele-operation; space maneuvering; haptics; rescue robots; man-machine interfaces; tele-immersion; computer- and robotics-aided neurosurgery or orthopedics; the assembly and design of humanoids; and systems for metalevel reasoning.
Consulting textbook for graduate courses and for researchers seeking powerful geometric methods Great use for specialists working in a particular field or for those who are interested in procedures for dealing with concurrent techniques of different fields like in the design of perception action systems Emphasizes the modern ways and formalisms for the representation and processing of geometric entities and the numerical solutions of equations involving geometric constraints often derived from the problem context The knowledge of all application domains is not required, only very basic notions on geometry The mathematical background will be presented at the beginning of each chapter Includes supplementary material: sn.pub/extras
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.
Autor*in
Eduardo Bayro Corrochano
Themen in »Handbook of Geometric Computing«
Intelligent Autonomous Systems artificial intelligence autonom computational geometry computer graphics computer vision fuzzy image processing motion planning pattern recognition robot robotics uncertainty visualization
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From the reviews:
"The Editor … has brought together some of the current up-to-date applications of geometric computing with the aim of assisting those who are constructing such systems. This includes not only researchers but also postgraduate students and assistants who are involved in developing and studying such systems. … a comprehensive list of the applications that would benefit from the contributions in this text which have been prepared by some of the leaders in fields that range from neuroscience and neural networks to medical imagery and robotics." (W. R. Howard, Kybenetes, Vol. 35 (5), 2006)
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