A knowledge based system for measuring faces | Zendy

David Tock | Zendy; Susan Craw | Zendy; Roly Lishman | Zendy

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A knowledge based system for measuring faces

Author(s) -

David Tock,

Susan Craw,

Roly Lishman

Publication year - 1990

Publication title -

citeseer x (the pennsylvania state university)

Language(s) - English

Resource type - Conference proceedings

DOI - 10.5244/c.4.71

Subject(s) - computer science , blackboard system , task (project management) , blackboard (design pattern) , artificial intelligence , key (lock) , knowledge base , computer vision , set (abstract data type) , feature (linguistics) , face (sociological concept) , knowledge based systems , machine vision , architecture , facial recognition system , sample (material) , feature extraction , pattern recognition (psychology) , engineering , art , social science , linguistics , philosophy , chemistry , computer security , systems engineering , chromatography , sociology , visual arts , programming language

Recognising faces is now an attractive computer vision task. Methods used for machine parts; recognizing straight lines or circular arcs, and the use of detailed geometric models, are not directly relevant, yet with many human faces to recognize, it is worthwhile building a system solely for this task. The system described here uses a blackboard architecture and aims to obtain a set of measurements from an image of a face. A key feature is the use of knowledge about faces, including a statistical knowledge base derived from detailed measurements of a large number of sample images.

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