
Introductory Techniques for 3-D Computer Vision
Pearson (Publisher)
Published on 25. March 1998
Book
Hardback
343 pages
978-0-13-261108-4 (ISBN)
Description
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.
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.
More details
Language
English
Place of publication
United States
Publishing group
Pearson Education (US)
Target group
College/higher education
Dimensions
Height: 240 mm
Width: 185 mm
Thickness: 21 mm
Weight
710 gr
ISBN-13
978-0-13-261108-4 (9780132611084)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Content
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.
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.