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.
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Wang, R., Yang, J., Yi, D., Li, S.Z. (2009). An Analysis-by-Synthesis Method for Heterogeneous Face Biometrics. In: Tistarelli, M., Nixon, M.S. (eds) Advances in Biometrics. ICB 2009. Lecture Notes in Computer Science, vol 5558. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-01793-3_33
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DOI: https://doi.org/10.1007/978-3-642-01793-3_33
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-01792-6
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