Factors that influence algorithm performance in the Face Recognition Grand Challenge

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...

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Veröffentlicht in:	Computer vision and image understanding Jg. 113; H. 6; S. 750 - 762
Hauptverfasser:	Beveridge, J. Ross, Givens, Geof H., Phillips, P. Jonathon, Draper, Bruce A.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Amsterdam Elsevier Inc 01.06.2009 Elsevier
Schlagworte:	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
ISSN:	1077-3142, 1090-235X
Online-Zugang:	Volltext
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