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A benchmark database of visible and thermal paired face images across multiple variations
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Datum
2018
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Köllen Druck+Verlag GmbH
Zusammenfassung
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.