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.
The authors in REF propose an analysis-by-synthesis framework, called face analogy, which could transform face images between NIR and VIS.
An Analysis-by-Synthesis Method for Heterogeneous Face Biometrics
ICB
Computer Science