This report shows how knowledge about the visual world can be built into a shape representation in the form of a descriptive vocabulary making explicit the important geometrical relationships comprising objects' shapes. Two computational tools are offered: (1) Shapestokens are placed on a Scale-Space Blackboard, (2) Dimensionality-reduction captures deformation classes in configurations of tokens. Knowledge lies in the token types and deformation classes tailored to the constraints and regularities ofparticular shape worlds. A hierarchical shape vocabulary has been implemented supporting several later visual tasks in the two-dimensional shape domain of the dorsal fins of fishes.
| Identifer | oai:union.ndltd.org:MIT/oai:dspace.mit.edu:1721.1/6833 |
| Date | 01 October 1988 |
| Creators | Saund, Eric |
| Source Sets | M.I.T. Theses and Dissertation |
| Language | en_US |
| Detected Language | English |
| Format | 300 p., 38394678 bytes, 31060480 bytes, application/postscript, application/pdf |
| Relation | AITR-1092 |
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