作者
J Ross Beveridge, Kai She, Bruce A Draper, Geof H Givens
发表日期
2001/12/8
研讨会论文
Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001
卷号
1
页码范围
I-I
出版商
IEEE
简介
The FERET evaluation compared recognition rates for different semi-automated and automated face recognition algorithms. We extend FERET by considering when differences in recognition rates are statistically distinguishable subject to changes in test imagery. Nearest Neighbor classifiers using principal component and linear discriminant subspaces are compared using different choices of distance metric. Probability distributions for algorithm recognition rates and pairwise differences in recognition rates are determined using a permutation methodology. The principal component subspace with Mahalanobis distance is the best combination; using L2 is second best. Choice of distance measure for the linear discriminant subspace matters little, and performance is always worse than the principal components classifier using either Mahalanobis or L1 distance. We make the source code for the algorithms, scoring …
引用总数
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JR Beveridge, K She, BA Draper, GH Givens - Proceedings of the 2001 IEEE Computer Society …, 2001