Neural Networks for Vision and Image Processing
MIT Press
Published on 27. May 1992
Book
Paperback/Softback
486 pages
978-0-262-53108-5 (ISBN)
Description
This interdisciplinary survey brings together recent models and experiments on how the brain sees and learns to recognize objects. It shows how to use these insights in technology and describes how neural networks provide a unifying computational framework for reaching these goals. Several chapters describe experiments in neurobiology and visual perception that clarify properties of biological vision and key conceptual issues that biological models need to address. Other chapters describe neural and computational models of biological vision that address such issues and clarify processes whereby biological vision derives its remarkable flexibility and power. Still other chapters use biologically derived models or heuristics to suggest neural network solutions to challenging technological problems in computer vision. Topics range from analyses of motion, depth, color and form to new concepts about learning, attention, pattern recognition, and hardware implementation.
More details
Series
Language
English
Place of publication
Cambridge, Mass.
United States
Publishing group
MIT Press Ltd
Target group
College/higher education
Professional and scholarly
US School Grade: From College Freshman to College Graduate Student
Product notice
Paperback (trade)
Dimensions
Height: 249 mm
Width: 178 mm
Thickness: 28 mm
Weight
975 gr
ISBN-13
978-0-262-53108-5 (9780262531085)
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Schweitzer Classification