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Edition: 1
Publisher: Morgan Kaufmann
Binding: Paperback
ISBN: 0934613338
Category: Programming
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Readings in Computer Vision: Issues, Problem, Principles, and Paradigms
The field of computer vision combines techniques from physics, mathematics, psychology, artificial intelligence, and computer science to examine how machines might construct meaningful descriptions of their surrounding environment. Programming books Readings in Computer Vision pdf. The editors of this volume, prominent researchers and leaders of the SRI International AI Center Perception Group, have selected sixty papers, most published since 1980, with the viewpoint that computer vision is concerned with solving seven basic problems:
Reconstructing 3D scenes from 2D images
Decomposing images into their component parts
Recognizing and assigning labels to scene objects
Deducing and describing relations among scene objects
Determining the nature of computer architectures that can support the visual function
Representing abstractions in the world of computer memory
Matching stored descriptions to image representation
Each chapter of this volume addresses one of these problems through an introductory discussion, which identifies major ideas and summarizes approaches, and through reprints of key research papers. Download books Readings in Computer Vision : Issues, Problems, Principles and Paradigms pdf via mediafire, 4shared, rapidshare.
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Readings in Computer Vision Issues, Problems, Principles, and Paradigms, ISBN-13: 9780934613330, ISBN-10: 0934613338
Readings in Computer Vision Issues, Problems, Principles, and Paradigms, ISBN-13: 9780934613330, ISBN-10: 0934613338
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by Martin Fischler - Elsevier Science (1987) - Paperback - ISBN 0934613338 9780934613330
by Martin Fischler - Elsevier Science (1987) - Paperback - ISBN 0934613338 9780934613330
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Download Readings in Computer Vision
The editors of this volume, prominent researchers and leaders of the SRI International AI Center Perception Group, have selected sixty papers, most published since 1980, with the viewpoint that computer vision is concerned with solving seven basic problems:
Reconstructing 3D scenes from 2D images
Decomposing images into their component parts
Recognizing and assigning labels to scene objects
Deducing and describing relations among scene objects
Determining the nature of computer architectures that can support the visual function
Representing abstractions in the world of computer memory
Matching stored descriptions to image representation
Each chapter of this volume addresses one of these problems through an introductory discussion, which identifies major ideas and summarizes approaches, and through reprints of key research papers. Two appendices on crucial assumptions in image interpretation and on parallel architectures for vision applications, a glossary of technical terms, and a comprehensive bibliography and index complete the volume. Download free Readings in Computer Vision: Issues, Problem, Principles, and Paradigms pdf
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