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Proceedings Paper

Geometric Modeling In Vision For Manufacturing
Author(s): Rodney A. Brooks; Thomas O. Binford
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Paper Abstract

We describe a geometric modeling and geometric reasoning system which is being developped to model real world industrial parts and to carry out examples of programmable inspection and picking parts from bins. It models both specific objects and generic classes of industrial parts. We concentrate on the problem of programming complex vision tasks. The models are used to guide a vision system interpreting industrial images. It identifies instances of objects, and odject classes, and extracts three dimensional information from monocular images. it can make use of depth information from stereo or projection ranging. The vision system relies on propagating symbolic algebraic constraints, both to predict image features and to extract three dimensional information from image feature measurements. This research is integrated with extensive research on finding image intensity boundaries in images and on surface description from stereo.

Paper Details

Date Published: 12 November 1981
PDF: 19 pages
Proc. SPIE 0281, Techniques and Applications of Image Understanding, (12 November 1981); doi: 10.1117/12.965742
Show Author Affiliations
Rodney A. Brooks, Stanford University (United States)
Thomas O. Binford, Stanford University (United States)

Published in SPIE Proceedings Vol. 0281:
Techniques and Applications of Image Understanding
James J. Pearson, Editor(s)

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