Bayesian face recognition
نویسندگان
چکیده
We propose a new technique for direct visual matching of images for the purposes of face recognition and image retrieval, using a probabilistic measure of similarity, based primarily on a Bayesian (MAP) analysis of image di!erences. The performance advantage of this probabilistic matching technique over standard Euclidean nearest-neighbor eigenface matching was demonstrated using results from DARPA's 1996 `FERETa face recognition competition, in which this Bayesian matching alogrithm was found to be the top performer. In addition, we derive a simple method of replacing costly computation of nonlinear (on-line) Bayesian similarity measures by inexpensive linear (o!-line) subspace projections and simple Euclidean norms, thus resulting in a signi"cant computational speed-up for implementation with very large databases. ( 2000 Pattern Recognition Society. Published by Elsevier Science Ltd. All rights reserved.
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عنوان ژورنال:
- Pattern Recognition
دوره 33 شماره
صفحات -
تاریخ انتشار 2000