Improving face segmentation in thermograms using image signatures

Authors:
Sílvio Filipe;Luís A. Alexandre
Affiliations:
Department of Computer Science, Instituto de Telecomunicações, Soft Computing and Image Analysis Group, University of Beira Interior, Covilhã, Portugal;Department of Computer Science, Instituto de Telecomunicações, Soft Computing and Image Analysis Group, University of Beira Interior, Covilhã, Portugal
Venue:
CIARP'10 Proceedings of the 15th Iberoamerican congress conference on Progress in pattern recognition, image analysis, computer vision, and applications
Year:
2010

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Abstract

The aim of this paper is to present a method for the automatic segmentation of face images captured in Long Wavelength Infrared (LWIR), allowing for a large range of face rotations and expressions. The motivation behind this effort is to enable better performance of face recognition methods in the thermal Infrared (IR) images. The proposed method consists on the modelling of background and face pixels by two normal distributions each, followed by a post-processing step of face dilation for closing holes and delimitation based on vertical and horizontal images signatures. Our experiments were performed on images of the University of Notre Dame (UND) and Florida State University (FSU) databases. The obtained results improve on previous existing methods from 2.8% to more than 25% depending on the method and database.