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About the Author
Edited by Martin A. Fischler and Oscar Firschein
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. 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.
About the Author
Edited by Martin A. Fischler and Oscar Firschein
Inside This Book
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First Sentence
The computational theory for recovering scene geometry from one or more images is based on five distinct paradigms: stereo, motion, shading, texture, and line drawings. Read the first page
Front Cover | Copyright | Table of Contents | Excerpt | Index | Back Cover
The computational theory for recovering scene geometry from one or more images is based on five distinct paradigms: stereo, motion, shading, texture, and line drawings. Read the first page
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Concordance
Browse Sample PagesConcordance
Front Cover | Copyright | Table of Contents | Excerpt | Index | Back Cover
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