Readings in computer vision : issues, problems, principles, and paradigms
著者
書誌事項
Readings in computer vision : issues, problems, principles, and paradigms
M. Kaufmann Publishers, c1987
大学図書館所蔵 件 / 全33件
-
該当する所蔵館はありません
- すべての絞り込み条件を解除する
注記
Bibliography: p. 780-794
Includes indexes
内容説明・目次
内容説明
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 imagesDecomposing images into their component partsRecognizing and assigning labels to scene objectsDeducing and describing relations among scene objectsDetermining the nature of computer architectures that can support the visual functionRepresenting abstractions in the world of computer memoryMatching 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.
目次
CHAPTER 1: RECOVERING SCENE GEOMETRYCHAPTER 2: IMAGE PARTITIONING AND PERCEPTUAL ORGANIZATIONCHAPTER 3: RECOGNITION AND LABELING OF SCENE OBJECTS CHAPTER 4: RELATIONAL DESCRIPTION CHAPTER 5: VISION SYSTEM ARCHITECTURES AND COMPUTATIONAL PARADIGMS CHAPTER 6: REPRESENTATIONS AND TRANSFORMATIONS CHAPTER 7: MATCHING, MODEL FITTING, DEDUCTION, AND INFORMATION INTEGRATION APPENDIX A: KEY IDEAS, ASSUMPTIONS, AND OPEN ISSUES IN COMPUTER VISION APPENDIX B: PARALLEL COMPUTER ARCHITECTURES FOR COMPUTER VISION
「Nielsen BookData」 より
