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Proceedings Paper

Matched Filtering For Robotic Vision Systems
Author(s): J. Mendelsohn; David G Englund
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Paper Abstract

In this paper we investigate the possibilities associated with applying the theory of matched filtering to the problem in robot vision commonly referred to as the "bin picking problem." While the implementation of matched filtering theory to applications in pattern recognition or machine vision is ideally through the use of optics and optical correlators, both digital and optical considerations of such an application will be investigated.

Paper Details

Date Published: 11 December 1985
PDF: 12 pages
Proc. SPIE 0579, Intelligent Robots and Computer Vision IV, (11 December 1985); doi: 10.1117/12.950806
Show Author Affiliations
J. Mendelsohn, Grumman Corporation (United States)
David G Englund, Grumman Data Systems (United States)


Published in SPIE Proceedings Vol. 0579:
Intelligent Robots and Computer Vision IV
David P. Casasent, Editor(s)

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