A knowledge based system for measuring faces
David Tock, Susan M Craw, Roly Lishman · 1990
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. Our original motivation for considering faces was to provide a way of indexing police mugshots for retrieval purposes. Our images are thus in a fairly standard form, and are of good quality. However, the ease with which