A Model of an Expert Computer Vision and Recognition Facility with Applications of a Proportion Technique.
ARMY MILITARY PERSONNEL CENTER ALEXANDRIA VA
Pagination or Media Count:
In this thesis an expert vision system is proposed which infers, from the collection and evaluation of facial segments of a face, a set of possible identifies. Retrievals from a data store to accomplish this are facilitated by using the shape representations as keys to the records. The heuristic involves collecting the candidate identities in those sets by set intersection and a weighting scheme. Sensitivity and tolerance factors in this expert are adjustable in terms of range values. The value obtained during evaluation of a facial segment is accepted or tolerated relative to the range of values expected for that segment. A retrieval effects a subrange whose width is determined by sensitivity to be the center and some number of adjacent values above and below that center value. Expectation ranges can be tailored to incorporate system and environmental variables.
- Computer Hardware