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.
REF proposed an analysis-by-synthesis framework to synthesize a face image from one domain to another before face matching.
An Analysis-by-Synthesis Method for Heterogeneous Face Biometrics
ICB
Computer Science