GRUPO: a 3-D structure recognition system

Scott Thomas Acton; Alan Conrad Bovik

doi:10.1117/12.24115

1 September 1990 GRUPO: a 3-D structure recognition system

Proceedings Volume 1360, Visual Communications and Image Processing '90: Fifth in a Series; (1990) https://doi.org/10.1117/12.24115
Event: Visual Communications and Image Processing '90, 1990, Lausanne, Switzerland

Abstract

We have developed a system, Generalized cylinder Recognition Using Perceptual Organization (GRUPO), that performs model-based recognition of the projections of generalized cylinders. Motivated by psychological theory, the approach uses perceptual organization, the grouping of structurally significant features, to limit the object and viewpoint search spaces in recognition. The system receives feature data from a segmentation based on perceptual organization and ranks the object space according to estimates of conditional object probabilities. Depth information is not used in the approach. To complete the recognition system, several problems were solved. For modeling, theoretical contributions include a proof for the invariance of discontinuities to projection, a method to find the axis of symmetry1, and a technique for determining self-occlusion. For the recognition process, solutions to search administration, feature matching, probabilistic search of the object space, and final template matching have been developed. The theory has been implemented and tested on synthetic data.

Citation Download Citation

Scott Thomas Acton and Alan Conrad Bovik "GRUPO: a 3-D structure recognition system", Proc. SPIE 1360, Visual Communications and Image Processing '90: Fifth in a Series, (1 September 1990); https://doi.org/10.1117/12.24115

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