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Proceedings Paper

Fusion of active and passive infrared images for face recognition
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Paper 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.

Paper Details

Date Published: 22 May 2013
PDF: 10 pages
Proc. SPIE 8705, Thermosense: Thermal Infrared Applications XXXV, 87050B (22 May 2013); doi: 10.1117/12.2017942
Show Author Affiliations
Moulay A. Akhloufi, Laval Univ. (Canada)
Abdelhakim Bendada, Laval Univ. (Canada)

Published in SPIE Proceedings Vol. 8705:
Thermosense: Thermal Infrared Applications XXXV
Gregory R. Stockton; Fred P. Colbert, Editor(s)

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