A Study on Representations for Face Recognition from Thermal Images

Authors:
Yenisel Plasencia;Edel García-Reyes;Robert P. Duin;Heydi Mendez-Vazquez;César San-Martin;Claudio Soto
Affiliations:
Advanced Technologies Application Center, La Habana, Cuba C.P. 12200 and Faculty of Electrical Engineering, Mathematics and Computer Sciences, Delft University of Technology, The Netherlands;Advanced Technologies Application Center, La Habana, Cuba C.P. 12200;Faculty of Electrical Engineering, Mathematics and Computer Sciences, Delft University of Technology, The Netherlands;Advanced Technologies Application Center, La Habana, Cuba C.P. 12200;Information Proc. Lab, DIE, Universidad de La Frontera, Temuco, Chile;Information Proc. Lab, DIE, Universidad de La Frontera, Temuco, Chile
Venue:
CIARP '09 Proceedings of the 14th Iberoamerican Conference on Pattern Recognition: Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
Year:
2009

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Abstract

Two challenges of face recognition at a distance are the uncontrolled illumination and the low resolution of the images. One approach to tackle the first limitation is to use longwave infrared face images since they are invariant to illumination changes. In this paper we study classification performances on 3 different representations: pixel-based, histogram, and dissimilarity representation based on histogram distances for face recognition from low resolution longwave infrared images. The experiments show that the optimal representation depends on the resolution of images and histogram bins. It was also observed that low resolution thermal images joined to a proper representation are sufficient to discriminate between subjects and we suggest that they can be promising for applications such as face tracking.