Multi-stage combination of geometric and colorimetric detectors for eyes localization

Abstract

We present in this paper a method for the localization of the eyes in a facial image. This method works on color images, applying the so called Chinese Transformation (CT) on edge pixels to detect local symmetry. The CT is combined with a skin color model based on a modified Gaussian Mixture Model (GMM). The CT and the modified GMM give us a small rectangular area containing one eye with a very high probability. This rectangle is then processed to find the precise position of the eye, using four sources of information: a darkness measure, a circle finder, a "not skin" finder and a position information. Experimental results on a large database are presented on nearly 1000 faces from the ECU database. © Springer-Verlag Berlin Heidelberg 2005.