Introductory Techniques for 3-D Computer Vision / Edition 1 available in Paperback
An applied introduction to modern computer vision, focusing on a set of computational techniques for 3-D imaging, this book 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.
- Provides a guide to well-tested theory and algorithms including solutions of problems encountered in modern computer vision.
- Contains many practical hints highlighted in the book.
- Develops two parallel tracks in the presentation, showing how fundamental problems are solved using both intensity and range images, the most popular types of images used today.
- Each chapter contains notes on the literature, review questions, numerical exercises, and projects.
- Provides an Internet list for accessing links to test images, demos, archives and additional learning material.
|Edition description:||New Edition|
|Product dimensions:||7.02(w) x 9.09(h) x 0.79(d)|
Table of Contents
2. Digital Snapshots.
3. Dealing with Image Noise.
4. Image Features.
5. More Image Features.
6. Camera Calibration.
9. Shape from Single-image Cues.
11. Locating Objects in Space.
Appendix A. Experiments: Practical Hints.