Ebook: Three-Dimensional Computer Vision
Author: Yoshiaki Shirai (auth.)
- Tags: Computer Graphics, Artificial Intelligence (incl. Robotics), Computer-Aided Engineering (CAD CAE) and Design
- Series: Symbolic Computation
- Year: 1987
- Publisher: Springer-Verlag Berlin Heidelberg
- Edition: 1
- Language: English
- pdf
The purpose of computer vision is to make computers capable of understanding environments from visual information. Computer vision has been an interesting theme in the field of artificial intelligence. It involves a variety of intelligent information processing: both pattern processing for extraction of meaningful symbols from visual information and symbol processing for determining what the symbols represent. The term "3D computer vision" is used if visual information has to be interpreted as three-dimensional scenes. 3D computer vision is more challenging because objects are seen from limited directions and some objects are occluded by others. In 1980, the author wrote a book "Computer Vision" in Japanese to introduce an interesting new approach to visual information processing developed so far. Since then computer vision has made remarkable progress: various rangefinders have become available, new methods have been developed to obtain 3D informa tion, knowledge representation frameworks have been proposed, geometric models which were developed in CAD/CAM have been used for computer vision, and so on. The progress in computer vision technology has made it possible to understand more complex 3 D scenes. There is an increasing demand for 3D computer vision. In factories, for example, automatic assembly and inspection can be realized with fewer con straints than conventional ones which employ two-dimensional computer vision.
Content:
Front Matter....Pages I-XII
Introduction....Pages 1-10
Image Input....Pages 11-31
Image Feature Extraction....Pages 32-68
Image Feature Description....Pages 69-89
Interpretation of Line Drawings....Pages 90-109
Realizability of Line Drawings....Pages 110-121
Stereo Vision....Pages 122-140
Shape from Monocular Images....Pages 141-163
Range Data Processing....Pages 164-188
Three-Dimensional Description and Representation....Pages 189-208
Knowledge Representation and Use....Pages 209-220
Image Analysis Using Knowledge About Scenes....Pages 221-249
Image Understanding Using Two-Dimensional Models....Pages 250-262
Image Understanding Using Three-Dimensional Models....Pages 263-291
Back Matter....Pages 293-297
Content:
Front Matter....Pages I-XII
Introduction....Pages 1-10
Image Input....Pages 11-31
Image Feature Extraction....Pages 32-68
Image Feature Description....Pages 69-89
Interpretation of Line Drawings....Pages 90-109
Realizability of Line Drawings....Pages 110-121
Stereo Vision....Pages 122-140
Shape from Monocular Images....Pages 141-163
Range Data Processing....Pages 164-188
Three-Dimensional Description and Representation....Pages 189-208
Knowledge Representation and Use....Pages 209-220
Image Analysis Using Knowledge About Scenes....Pages 221-249
Image Understanding Using Two-Dimensional Models....Pages 250-262
Image Understanding Using Three-Dimensional Models....Pages 263-291
Back Matter....Pages 293-297
....