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. © Springer-Verlag Berlin Heidelberg 2009.
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CITATION STYLE
Wang, R., Yang, J., Yi, D., & Li, S. Z. (2009). An analysis-by-synthesis method for heterogeneous face biometrics. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5558 LNCS, pp. 319–326). https://doi.org/10.1007/978-3-642-01793-3_33
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