Ebook: Three-Dimensional Object Recognition from Range Images
- Tags: Computer Hardware, Software Engineering/Programming and Operating Systems, Image Processing and Computer Vision
- Series: Computer Science Workbench
- Year: 1992
- Publisher: Springer Tokyo
- Edition: 1
- Language: English
- pdf
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.
Content:
Front Matter....Pages i-xxi
Introduction....Pages 1-13
Front Matter....Pages 15-15
Range Image Sensors and Sensing Techniques....Pages 17-37
Range Image Segmentation....Pages 39-75
Representation....Pages 77-101
Recognition and Localization Techniques....Pages 103-142
Front Matter....Pages 143-143
Polyhedral Object Recognition....Pages 145-181
Recognition of Curved Objects....Pages 183-220
Front Matter....Pages 221-221
Sensitivity Analysis....Pages 223-255
Parallel Implementations of Recognition Techniques....Pages 257-277
Back Matter....Pages 279-308
Content:
Front Matter....Pages i-xxi
Introduction....Pages 1-13
Front Matter....Pages 15-15
Range Image Sensors and Sensing Techniques....Pages 17-37
Range Image Segmentation....Pages 39-75
Representation....Pages 77-101
Recognition and Localization Techniques....Pages 103-142
Front Matter....Pages 143-143
Polyhedral Object Recognition....Pages 145-181
Recognition of Curved Objects....Pages 183-220
Front Matter....Pages 221-221
Sensitivity Analysis....Pages 223-255
Parallel Implementations of Recognition Techniques....Pages 257-277
Back Matter....Pages 279-308
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