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Computer Vision: A Modern Approach
ISBN-10: 0-13-085198-1
ISBN-13: 978-0-13-085198-7
Published by Prentice Hall
© 2003
Pub. Date: Aug 14, 2002
Format: Cloth
Table of Contents
I. IMAGE FORMATION AND IMAGE MODELS.
1. Cameras.
2. Geometric Camera Models.
3. Geometric Camera Calibration.
4. Radiometry - Measuring Light.
5. Sources, Shadows and Shading.
6. Color.
II. EARLY VISION: JUST ONE IMAGE.
7. Linear Filters.
8. Edge Detection.
9. Texture.
III. EARLY VISION: MULTIPLE IMAGES.
10. The Geometry of Multiple Views.
11. Stereopsis.
12. Affine Structure from Motion.
13. Projective Structure from Motion.
IV. MID-LEVEL VISION.
14. Segmentation By Clustering.
15. Segmentation By Fitting a Model.
16. Segmentation and Fitting Using Probabilistic Methods.
17. Tracking with Linear Dynamic Models.
V. HIGH-LEVEL VISION: GEOMETRIC MODELS.
18. Model-Based Vision.
19. Smooth Surfaces and Their Outlines.
20. Aspect Graphs.
21. Range Data.
VI. HIGH-LEVEL VISION: PROBABILISTIC AND INFERENTIAL METHODS.
22. Finding Templates Using Classifiers.
23. Recognition By Relations Between Templates.
24. Geometric Templates From Spatial Relations.
VII. APPLICATIONS.
25. Application: Finding in Digital Libraries.
26. Application: Image-Based Rendering.
