A methodology for evaluating robustness of face recognition algorithms with respect to variations in pose angle and illumination angle

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

Volumn II, Issue , 2005, Pages

  Little, Greg ^a   Krishna, Sreekar ^a   Black, John ^a   Panchanathan, Sethuraman ^a  

^a ARIZONA STATE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BAYESIAN INTRA-PERSONAL CLASSIFIER (BIC); HIDDEN MARKOV MODELS (HMM); LINEAR DISCRIMINANT ANALYSIS (LDA); PROBABILISTIC LEARNING METHODS;

ALGORITHMS; DATABASE SYSTEMS; LIGHTING; MARKOV PROCESSES; PRINCIPAL COMPONENT ANALYSIS; PROBABILISTIC LOGICS; ROBUSTNESS (CONTROL SYSTEMS);

FACE RECOGNITION;

EID: 33646801648     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.2005.1415348     Document Type: Conference Paper

References (13)

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