Factors that influence algorithm performance in the Face Recognition Grand Challenge

• Published in: Computer vision and image understanding Vol. 113; no. 6; pp. 750 - 762
• Main Authors: Beveridge, J. Ross, Givens, Geof H., Phillips, P. Jonathon, Draper, Bruce A.
• Format: Journal Article
• Language: English
• Published: Amsterdam Elsevier Inc 01.06.2009; Elsevier
• Subjects: Applied sciences; Artificial intelligence; Computer science; control theory; systems; Data processing. List processing. Character string processing; Exact sciences and technology; Face recognition; Memory organisation. Data processing; Pattern recognition. Digital image processing. Computational geometry; Performance analysis; Software; Statistical modeling; Subject covariates; Statistical modeling; Subject covariates; Performance analysis; Face recognition; Performance evaluation; Computer vision; Generalized linear model; Image resolution; Statistical analysis; Probabilistic approach; Image processing; Sex; Pattern recognition; Modeling; Mixed model; Facies; Age

A statistical study is presented quantifying the effects of covariates such as gender, age, expression, image resolution and focus on three face recognition algorithms. Specifically, a Generalized Linear Mixed Effect model is used to relate probability of verification to subject and image covariates...