Perception Organization and Visual Recognition /

Table of Content

1. INTRODUCTION
1.0 Overview of spatial vision
1.1 Two view points on computer vision
1.2 A demonstration of perceptual organization
1.3 Specific functions of perceptual organization

2. Previous research
2.1 Gestalt psychology and perceptual organization
2.2 The principle of simplicity
2.3. Grouping as the formation of causal
2.4 The role of grouping in computer vision systems

3. The significance of Image relations
3.1 Probability of accidental occurrence
3.2 Limiting computational complexity

4. The Segmentation of Image Curves
4.1 Previous research on curve segmentation
4.2 Significance of a curve segment
4.3 Selecting the most significant structures
4.4 Demonstrating of the algorithm
4.5 Evaluation and future research

5. The use of Viewpoint Invariance
5.1 Three-space inferences form image features
5.2 Recovery of 3D properties from line drawing
5.3 A demonstration of three-space inference
5.4 Conclusion and future development

6 Model-based search and Inference
6.1 Searching the space of positive viewpoints
6.2 Searching the space of possible objects

7 The verification of Interpretations
7.1 Viewpoint determination in human vision
7.2 Definition of the problem
7.3 Previous research on viewpoint determination
7.4 Formulation of perspective projection
7.5 Newton-Raphson convergence
Etc.

8. The Scerpo Vision system
8.1 Edge detection
8.2 Perceptual organization
8.3 Matching and evidential reasoning
8.4 Verification
8.5 System performance and future extensions

9. Conclusion
9.1 Directions for future development

Bibliographic index: p.15162