Face Detection with an Adaptive Skin Color Segmentation and Eye Features.

In this paper, we propose a new method of face detection using an adaptive skin color model and eye features. First, we detect skin color segments adaptively using a two-dimensional Gaussian model from the CrCb skin color space. On these skin color segments, shape analysis is performed to reduce false alarms. Then, eye feature points for face are extracted. The possible eye feature points are compared with normalized eye features obtained from the training data for verification. At this step, we use a modified Hausdorff distance. Experimental results are given to demonstrate our face detection approach in slanted face images and different lighting conditions. [ABSTRACT FROM AUTHOR]