An Analysis-by-Synthesis Method for Heterogeneous Face Biometrics

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. Key words: heterogenous face biometrics, face analogy, face matching, analysisby-synthesis.

• Type: Conference
• Year: 2009
• Where: ICB
• Authors: Rui Wang, Jimei Yang, Dong Yi, Stan Z. Li
• Keywords: Biometrics, Face Analogy, Face Images, Heterogeneous Face, ICB 2009