Active Shape Models with Invariant Optimal Features: Application to Facial Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
Probabilistic Facial Feature Extraction Using Joint Distribution of Location and Texture Information
ISVC '09 Proceedings of the 5th International Symposium on Advances in Visual Computing: Part II
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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.