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Proceedings Paper

Shift-Invariant And Distortion-Invariant Object Recognition
Author(s): David Casasent; Vinod Sharma
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Paper Abstract

The problem of recognizing multiple objects in a highly cluttered background in the face of geometrical object distortions is addressed in this paper. A correlation architecture using a matched spatial filter of a synthetic discriminant function is employed to achieve the required performance. Synthesis of the synthetic discriminant function is discussed as is the initial performance obtained in the face of noise. Initial remarks are advanced on various methods to select the training set of images to use in this algorithm.

Paper Details

Date Published: 13 December 1983
PDF: 11 pages
Proc. SPIE 0442, Robotics and Robot Sensing Systems, (13 December 1983); doi: 10.1117/12.937930
Show Author Affiliations
David Casasent, Carnegie-Mellon University (United States)
Vinod Sharma, Carnegie-Mellon University (United States)

Published in SPIE Proceedings Vol. 0442:
Robotics and Robot Sensing Systems
David P. Casasent; Ernest L. Hall, Editor(s)

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