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A benchmark database of visible and thermal paired face images across multiple variations

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2018

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Köllen Druck+Verlag GmbH

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Although visible face recognition systems have grown as a major area of research, they are still facing serious challenges when operating in uncontrolled environments. In attempt to overcome these limitations, thermal imagery has been investigated as a promising direction to extend face recognition technology. However, the reduced number of databases acquired in thermal spectrum limits its exploration. In this paper, we introduce a database of face images acquired simultaneously in visible and thermal spectra under various variations: illumination, expression, pose and occlusion. Then, we present a comparative study of face recognition performances on both modalities against each variation and the impact of bimodal fusion. We prove that thermal spectrum rivals with the visible spectrum not only in the presence of illumination changes, but also in case of expression and poses changes.

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Mallat, Khawla; Dugelay, Jean-Luc (2018): A benchmark database of visible and thermal paired face images across multiple variations. BIOSIG 2018 - Proceedings of the 17th International Conference of the Biometrics Special Interest Group. Bonn: Köllen Druck+Verlag GmbH. PISSN: 1617-5468. ISBN: 978-3-88579-676-4. Darmstadt. 26.-28. September 2018

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