Title: 3D chrominance histogram based face localisation

Authors: M. Beniak, J. Pavlovicova, M. Oravec

Addresses: Faculty of Electrical Engineering and Information Technology, Slovak University of Technology, Ilkovicova 3, Bratislava, 812 19, Slovak Republic. ' Faculty of Electrical Engineering and Information Technology, Slovak University of Technology, Ilkovicova 3, Bratislava, 812 19, Slovak Republic. ' Faculty of Electrical Engineering and Information Technology, Slovak University of Technology, Ilkovicova 3, Bratislava, 812 19, Slovak Republic

Abstract: The paper describes face detection and face features localisation. We use YCbCr colour model because of chrominance components separation. The model is compatible with the video-broadcasting applications and videophone technology. First, we create a colour model for skin colour segmentation, and in the next part, we apply the created model to skin colour detection. Our approach is composed of pixel classification based on chrominance components and mathematical morphology. The utilisation of 3D histogram for chrominance components, instead of separated chrominance components, upgrades algorithm efficiency. In the face regions, we apply intensity and gradient projections to localise the face features.

Keywords: face detection; face localisation; YCbCr colour space; 3D histogram; FERET image database; gradient projections; facial features; modelling; skin colour segmentation; chrominance.

DOI: 10.1504/IJSISE.2011.039179

International Journal of Signal and Imaging Systems Engineering, 2011 Vol.4 No.1, pp.3 - 12

Published online: 13 Mar 2015 *

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