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Proceedings Paper

Reliable Formation Of Feature Vectors For 2-D Shape Representation
Author(s): Billy Keith Miller; Richard A. Jones
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Paper Abstract

An adaptive algorithm which has the capability of simultaneously identifying several shapes is introduced and derived. The identification of the irregular objects (shapes) can be accomplished over a wide range of scale factors, and independent of rotation and translation. It is demonstrated that excellent identification performance is obtained under the most adverse conditions. Specifically, it is demonstrated that the algorithm performs well in the presence of both noise and occlusion. Additionally, the matching process produces estimates of rotation, scaling, and translation for the various irregular objects. The algorithm is robust in the sense that adjustments can be made to accomodate both extreme noise and memory restrictions. It is demonstrated that the computational requirements for the procedure are not excessive.

Paper Details

Date Published: 9 June 1986
PDF: 10 pages
Proc. SPIE 0595, Computer Vision for Robots, (9 June 1986); doi: 10.1117/12.952250
Show Author Affiliations
Billy Keith Miller, University of Arkansas at Fayetteville (United States)
Richard A. Jones, University of Arkansas at Fayetteville (United States)


Published in SPIE Proceedings Vol. 0595:
Computer Vision for Robots
Olivier D. Faugeras; Robert B. Kelley, Editor(s)

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