Rule-Based For A String Code Pattern Recognition Processor

David Casasent; Sung-IL Chien

doi:10.1117/12.960254

27 March 1989 Rule-Based For A String Code Pattern Recognition Processor

David Casasent, Sung-IL Chien

Proceedings Volume 1002, Intelligent Robots and Computer Vision VII; (1989) https://doi.org/10.1117/12.960254
Event: 1988 Cambridge Symposium on Advances in Intelligent Robotics Systems, 1988, Boston, MA, United States

Abstract

A 3-D distortion-invariant multi-class object identification problem is addressed. Our new, fast and robust string-code generation technique (using optical and digital methods) makes the rule-based system quite practical and attractive. Emphasis is given to our rule-based system and to initial data results. Excellent multi-class recognition and reasonable object distortions can be accommodated in this system. We achieved 80-90% correct recognition (P_C) for 10 object classes and ±30° 3-D distortions and full 360° in-plane distortions.

Citation Download Citation

David Casasent and Sung-IL Chien "Rule-Based For A String Code Pattern Recognition Processor", Proc. SPIE 1002, Intelligent Robots and Computer Vision VII, (27 March 1989); https://doi.org/10.1117/12.960254

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