Introductory techniques for 3-D computer vision
著者
書誌事項
Introductory techniques for 3-D computer vision
Prentice Hall, c1998
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注記
Includes bibliographies and index
内容説明・目次
内容説明
Senior/Graduate level courses on computer vision, robot vision and image processing in electrical and computer engineering, mathematics, and computer science departments, and an essential reference for researchers and scientists in the field of computer vision.
An applied introduction to modern computer vision, focusing on a set of computational techniques for 3-D imaging. Covers a wide range of fundamental problems encountered within computer vision and provides detailed algorithmic and theoretical solutions for each. Each chapter concentrates on a specific problem and solves it by building on previous results.
目次
1. Introductions.
2. Digital Snapshots.
3. Dealing with Image Noise.
4. Image Features.
5. More Image Features.
6. Camera Calibration.
7. Stereopsis.
8. Motion.
9. Shape from Single-image Cues.
10 Recognition.
11. Locating Objects in Space.
Appendix A. Experiments: Practical Hints.
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