A process-grammar for shape

Artificial Intelligence

Volumn 34, Issue 2, 1988, Pages 213-247

  Leyton, Michael ^a  

^a RUTGERS UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

VISION;

INFERENCE RULES; NATURAL SHAPES; PROCESS-GRAMMAR; VISUAL PERCEPTION;

ARTIFICIAL INTELLIGENCE;

EID: 0023978068     PISSN: 00043702     EISSN: None     Source Type: Journal    
DOI: 10.1016/0004-3702(88)90039-2     Document Type: Article

References (29)

1. Some informational aspects of visual perception
2. Visual perception by computer
3. Biological shape and visual science (Part 1)
4. Criteria for representations of shape
5. Parts of recognition
6. Dynamic shape
7. Perceptual organization as nested control
8. Generative systems of analyzers
9. Principles of information structure common to six levels of the human cognitive system
10. A theory of information structure I: General principles
11. A theory of information structure II: A theory of perceptual organization
12. Nested structures of control: An intuitive view
13. Symmetry-curvature duality
14. Scale-based description and recognition of planar curves and two-dimensional shapes
15. Three-dimensional shape description using the symmetric axis transform
16. Three-dimensional shape description using the symmetric axis transform 1: Theory
17. Fractal-based description
18. Perceptual organization and the representation of natural form
19. Hierarchical shape description via the multiresolution of the symmetric axis transform
20. Codon constraints on closed 2D shapes
21. Inferring 3D shapes from 2D silhouettes
22. Cognitive reference points
23. Scale-space filtering
24. Scaling theorems for zero crossings