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Proceedings Paper

Effective object representation technique for recognition
Author(s): Grama Y. Chethan; Pepe Siy
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Paper Abstract

Feature extraction and object representation form the basis of a model based object recognition system. This paper presents a new technique for invariant representation of object geometry. A massively parallel line feature extractor is applied to an edge extracted image to detect the object features. A feature tree representation of the object geometry is generated. The feature tree thus becomes a complete representation of the objects in the image. A line based object representation technique has been chosen over the point based technique to circumvent the uncertainty associated with point representation. The geometric invariants of the lines are computed using a combination of line features. An invariant feature tree representing the object geometry is thus obtained. This representation is highly parallel and can be effectively exploited in the recognition phase.

Paper Details

Date Published: 10 October 1994
PDF: 10 pages
Proc. SPIE 2353, Intelligent Robots and Computer Vision XIII: Algorithms and Computer Vision, (10 October 1994); doi: 10.1117/12.188916
Show Author Affiliations
Grama Y. Chethan, Wayne State Univ. (United States)
Pepe Siy, Wayne State Univ. (United States)


Published in SPIE Proceedings Vol. 2353:
Intelligent Robots and Computer Vision XIII: Algorithms and Computer Vision
David P. Casasent, Editor(s)

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