27 March 1987 A Rule-Based High-Level Vision System
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Proceedings Volume 0726, Intelligent Robots and Computer Vision V; (1987) https://doi.org/10.1117/12.937743
Event: Cambridge Symposium_Intelligent Robotics Systems, 1986, Cambridge, MA, United States
Abstract
This Paper Discusses A High-Level Knowledge-Based Vision System. We Have Implemented A Human Face Recognition System In Ops83, A Rule-Based Production System Language. The System Currently Is Capable Of Identifying The Components Of A Human Face From An Input Set Of Line Segments In A Manner Consistent With That Performed By Human Observers. The System Consists Of Independent Modules (Knowledge Sources), Each Of Which Is Capable Of Recognizing/Detecting A Particular Component Of The Face (E.G. Eye, Nose, Etc.) In An Image. Each Knowledge Source Posts, To A Section Of Memory, Information Regarding What Is Recognized And An Associated Confidence Level. This Global Data Area, The Blackboard, Allows The Posted Information To Be Available To All The Knowledge Sources. The Sharing Of Results Among The Knowledge Sources Provides Flexibility Such That The System Operates With Incomplete Image Information. The Extracted Results From The Knowledge Sources Are Evaluated And The Highest Confidence Face Is Presented.
© (1987) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Michael J. Conlin, "A Rule-Based High-Level Vision System", Proc. SPIE 0726, Intelligent Robots and Computer Vision V, (27 March 1987); doi: 10.1117/12.937743; https://doi.org/10.1117/12.937743
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