Handbook of Geometric Computing - Info and Reading Options
Applications in Pattern Recognition, Computer Vision, Neuralcomputing, and Robotics
By Eduardo Bayro Corrochano

"Handbook of Geometric Computing" is published by Springer in August 23, 2005, it has 779 pages and the language of the book is English.
“Handbook of Geometric Computing” Metadata:
- Title: ➤ Handbook of Geometric Computing
- Author: Eduardo Bayro Corrochano
- Language: English
- Number of Pages: 779
- Publisher: Springer
- Publish Date: August 23, 2005
“Handbook of Geometric Computing” Subjects and Themes:
- Subjects: ➤ Geometry - Data processing - Computer programs - Optical pattern recognition - Electronic data processing - Computer graphics - Artificial intelligence - Geometry, data processing - Computer science - Computer vision - Computing Methodologies - Artificial Intelligence (incl. Robotics) - Computer Imaging, Vision, Pattern Recognition and Graphics - Image Processing and Computer Vision - Pattern Recognition
Edition Specifications:
- Format: Hardcover
- Weight: 2.7 pounds
- Dimensions: 9.5 x 6.4 x 1.2 inches
Edition Identifiers:
- The Open Library ID: OL9054455M - OL8058895W
- Library of Congress Control Number (LCCN): 2004118329
- ISBN-13: 9783540205951
- ISBN-10: 3540205950
- All ISBNs: 3540205950 - 9783540205951
AI-generated Review of “Handbook of Geometric Computing”:
"Handbook of Geometric Computing" Description:
The Open Library:
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.
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