Adaptive automatic facial feature segmentation

Automatic facial feature detection is typically solved by using manually segmented images to train a feature detector In this paper we investigate whether it is possible to improve the detection performance of such a feature detector by using additional unsegmented images. We propose a new adaptive automatic facial feature segmentation algorithm which aims to do this. The experimental results using this algorithm demonstrate that it is possible to improve the detection performance obtained from a small segmented training set by using a larger number of additional unsegmented images.