Overview
- Authors:
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Minsoo Suk
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Department of Electrical and Computer Engineering, Syracuse University, Syracuse, USA
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Suchendra M. Bhandarkar
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Department of Computer Science, University of Georgia, Athens, USA
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Table of contents (9 chapters)
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Introduction
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- Minsoo Suk, Suchendra M. Bhandarkar
Pages 1-13
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Fundamentals of Range Image Processing and Three-Dimensional Object Recognition
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- Minsoo Suk, Suchendra M. Bhandarkar
Pages 17-37
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- Minsoo Suk, Suchendra M. Bhandarkar
Pages 39-75
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- Minsoo Suk, Suchendra M. Bhandarkar
Pages 77-101
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- Minsoo Suk, Suchendra M. Bhandarkar
Pages 103-142
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Three-Dimensional Object Recognition Using Qualitative Features
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Front Matter
Pages 143-143
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- Minsoo Suk, Suchendra M. Bhandarkar
Pages 145-181
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- Minsoo Suk, Suchendra M. Bhandarkar
Pages 183-220
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Sensitivity Analysis and Parallel Implementation
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Front Matter
Pages 221-221
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- Minsoo Suk, Suchendra M. Bhandarkar
Pages 223-255
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- Minsoo Suk, Suchendra M. Bhandarkar
Pages 257-277
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Back Matter
Pages 279-308
About this book
Computer Science Workbench is a monograph series which will provide you with an in-depth working knowledge of current developments in computer technology. Every volume in this series will deal with a topic of importance in computer science and elaborate on how you yourself can build systems related to the main theme. You will be able to develop a variety of systems, including computer software tools, computer graphics, computer animation, database management systems, and computer-aided design and manufacturing systems. Computer Science Workbench represents an important new contribution in the field of practical computer technology. T08iyasu L. Kunii PREFACE The primary aim of this book is to present a coherent and self-contained de scription of recent advances in three-dimensional object recognition from range images. Three-dimensional object recognition concerns recognition and localiza tion of objects of interest in a scene from input images. This problem is one of both theoretical and practical importance. On the theoretical side, it is an ideal vehicle for the study of the general area of computer vision since it deals with several important issues encountered in computer vision-for example, issues such as feature extraction, acquisition, representation and proper use of knowl edge, employment of efficient control strategies, coupling numerical and symbolic computations, and parallel implementation of algorithms. On the practical side, it has a wide range of applications in areas such as robot vision, autonomous navigation, automated inspection of industrial parts, and automated assembly.
Authors and Affiliations
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Department of Electrical and Computer Engineering, Syracuse University, Syracuse, USA
Minsoo Suk
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Department of Computer Science, University of Georgia, Athens, USA
Suchendra M. Bhandarkar