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Proceedings Paper

Hybrid Optical/Digital Moment-Based Robotic Pattern Recognition System
Author(s): David Casasent; Lee Cheatham; Donald Fetterly
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Paper Abstract

A moment-based pattern recognition system is most appropriate for providing information on the presence, classification and orientation of an object in the field-of-view of a sensor. Such features are ideal for robotic pattern recognition and parts handling. This paper reviews our hybrid optical/digital system to achieve the above objectives and includes initial demonstration results. We then advance a new optical finite-order cosine-processor that can compute the moments and we discuss how the outputs from this system can easily be corrected for various optical system errors and the design of a reduced size breadboard optical system.

Paper Details

Date Published: 23 May 1983
PDF: 9 pages
Proc. SPIE 0360, Robotics and Industrial Inspection, (23 May 1983); doi: 10.1117/12.934091
Show Author Affiliations
David Casasent, Carnegie-Mellon University (United States)
Lee Cheatham, Carnegie-Mellon University (United States)
Donald Fetterly, General Dynamics (United States)


Published in SPIE Proceedings Vol. 0360:
Robotics and Industrial Inspection
David P. Casasent, Editor(s)

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