An Analysis-by-Synthesis Method for Heterogeneous Face Biometrics

Authors:
Rui Wang;Jimei Yang;Dong Yi;Stan Z. Li
Affiliations:
Center for Biometrics and Security Research, Institute of Automation, Chinese Academy of Sciences, Beijing, China 100190;Center for Biometrics and Security Research, Institute of Automation, Chinese Academy of Sciences, Beijing, China 100190;Center for Biometrics and Security Research, Institute of Automation, Chinese Academy of Sciences, Beijing, China 100190;Center for Biometrics and Security Research, Institute of Automation, Chinese Academy of Sciences, Beijing, China 100190
Venue:
ICB '09 Proceedings of the Third International Conference on Advances in Biometrics
Year:
2009

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Abstract

Face images captured in different spectral bands, e.g. , in visual (VIS) and near infrared (NIR), are said to be heterogeneous. Although a person's face looks different in heterogeneous images, it should be classified as being from the same individual. In this paper, we present a new method, called face analogy , in the analysis-by-synthesis framework, for heterogeneous face mapping, that is, transforming face images from one type to another, and thereby performing heterogeneous face matching. Experiments show promising results.