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Proceedings Paper

An Integral Measure Signature For Recognition Of Shapes
Author(s): Y. J. Tejwani
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Paper Abstract

In this paper, the use of Cylindrical Multivalued Transform (CMLT) for defining an Integral Transform Measure is examined. This Measure is robust to the effect of noise and quantization errors. These signatures are used as low level primitives in computer vision system for the purpose of recognizing curves and surfaces (shapes). Algorithms for evaluation of these signatures are presented. Properties of these signatures are also discussed.

Paper Details

Date Published: 22 August 1988
PDF: 9 pages
Proc. SPIE 0938, Digital and Optical Shape Representation and Pattern Recognition, (22 August 1988); doi: 10.1117/12.976611
Show Author Affiliations
Y. J. Tejwani, Marquette University (United States)

Published in SPIE Proceedings Vol. 0938:
Digital and Optical Shape Representation and Pattern Recognition
Richard D. Juday, Editor(s)

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