431423

A Methodology for Evaluating Robustness of Face Recognition Algorithms with Respect to Variations in Pose Angle and Illumination Angle

Little, Greg ; Krishna, Sreekar ; Black, John ; Panchanathan, Sethuraman

Center for Cognitive Ubiquitous Comput., Arizona State Univ., Tempe, AZ, USA

2

2005

March 18-23, 2005

89

92

Bayes methods; face recognition; hidden Markov models; image classification; principal component analysis; BIC; Bayesian intra-personal classifier; HMM; LDA; PCA; face recognition algorithm robustness; hidden Markov models; illumination angle variations; linear discriminant analysis; pose angle variations; principle component analysis; probabilistic learning methods; robustness measure; subspace analysis methods; Algorithm design and analysis; Face recognition; Hidden Markov models; Image databases; Image recognition; Learning systems; Lighting; Linear discriminant analysis; Robustness; Ubiquitous computing;

English

ieee

Acoustics, Speech, and Signal Processing, 2005. Proceedings. (ICASSP '05). IEEE International Conference on

1520-6149

0-7803-8874-7

conf

10.1109/ICASSP.2005.1415348

1415348