Paper
23 May 1983 Hybrid Optical/Digital Moment-Based Robotic Pattern Recognition System
David Casasent, Lee Cheatham, Donald Fetterly
Author Affiliations +
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.
© (1983) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
David Casasent, Lee Cheatham, and Donald Fetterly "Hybrid Optical/Digital Moment-Based Robotic Pattern Recognition System", Proc. SPIE 0360, Robotics and Industrial Inspection, (23 May 1983); https://doi.org/10.1117/12.934091
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CITATIONS
Cited by 6 scholarly publications.
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KEYWORDS
Robotics

Distortion

Hybrid optics

Optical pattern recognition

Pattern recognition

Sensors

Computing systems

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