An efficient method for facial component detection in thermal images

Michael Paul; Nikolai Blanik; Vladimir Blazek; Steffen Leonhardt

doi:10.1117/12.2182760

30 April 2015 An efficient method for facial component detection in thermal images

Michael Paul, Nikolai Blanik, Vladimir Blazek, Steffen Leonhardt

Proceedings Volume 9534, Twelfth International Conference on Quality Control by Artificial Vision 2015; 95340P (2015) https://doi.org/10.1117/12.2182760
Event: The International Conference on Quality Control by Artificial Vision 2015, 2015, Le Creusot, France

Abstract

A method to detect certain regions in thermal images of human faces is presented. In this approach, the following steps are necessary to locate the periorbital and the nose regions: First, the face is segmented from the background by thresholding and morphological filtering. Subsequently, a search region within the face, around its center of mass, is evaluated. Automatically computed temperature thresholds are used per subject and image or image sequence to generate binary images, in which the periorbital regions are located by integral projections. Then, the located positions are used to approximate the nose position. It is possible to track features in the located regions. Therefore, these regions are interesting for different applications like human-machine interaction, biometrics and biomedical imaging. The method is easy to implement and does not rely on any training images or templates. Furthermore, the approach saves processing resources due to simple computations and restricted search regions.

Citation Download Citation

Michael Paul, Nikolai Blanik, Vladimir Blazek, and Steffen Leonhardt "An efficient method for facial component detection in thermal images", Proc. SPIE 9534, Twelfth International Conference on Quality Control by Artificial Vision 2015, 95340P (30 April 2015); https://doi.org/10.1117/12.2182760

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