Facial Feature Detection Using Neural Networks
نویسندگان
چکیده
Many human{machine interfaces based on face gestures are strongly user-dependent. We want to overcome this limitation by using common facial features like eyes, nose and mouth for gaze recognition. In a rst step an adaptive color histogram segmentation method roughly determines the region of interest including the user's face. Within this region we then use a hierarchical recognition approach to detect the facial features. Our system is based on a what{where neural network architecture and allows a fast and robust recognition rate. In the future we intend to use the conspicuous features for estimation of gaze directions.
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