Fusion of active and passive infrared images for face recognition

Moulay A. Akhloufi; Abdelhakim Bendada

doi:10.1117/12.2017942

22 May 2013 Fusion of active and passive infrared images for face recognition

Proceedings Volume 8705, Thermosense: Thermal Infrared Applications XXXV; 87050B (2013) https://doi.org/10.1117/12.2017942
Event: SPIE Defense, Security, and Sensing, 2013, Baltimore, Maryland, United States

Abstract

This work introduces a new framework for active and passive infrared image fusion for face recognition applications. Two multispectral face recognition databases were used in our experiments: Equinox Database (Visible, SWIR, MWIR, LWIR) and m-Faces Database (Visible, NIR, MWIR, LWIR). The proposed framework uses a fusion scheme in texture space in order to increase the performance of face recognition. The proposed texture space is based on the use of binary and ternary patterns. A new adaptive ternary pattern is also introduced. Active (SWIR and NIR) and passive (MWIR, LWIR) infrared modalities are used in this fusion scheme. An intraspectral and inter-spectral fusion approaches are introduced. The obtained results are promising and show an increase in the recognition performance when texture channels are fused in a multi-scale fusion scheme.

Citation Download Citation

Moulay A. Akhloufi and Abdelhakim Bendada "Fusion of active and passive infrared images for face recognition", Proc. SPIE 8705, Thermosense: Thermal Infrared Applications XXXV, 87050B (22 May 2013); https://doi.org/10.1117/12.2017942

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