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CIARP
2010
Springer

Improving Face Segmentation in Thermograms Using Image Signatures

10 years 3 months ago
Improving Face Segmentation in Thermograms Using Image Signatures
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.
Silvio Filipe, Luís A. Alexandre
Added 13 Jan 2011
Updated 13 Jan 2011
Type Journal
Year 2010
Where CIARP
Authors Silvio Filipe, Luís A. Alexandre
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