Detecting Faces in Images: A Survey
IEEE Transactions on Pattern Analysis and Machine Intelligence
Example Based Learning for View-Based Human Face Detection
Example Based Learning for View-Based Human Face Detection
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In this paper, we propose a robust, fast and economical scheme for locating the eyes, lip-corners, and nostrils. A head pose estimation scheme for eye-head controlled human computer interface under an unconstrained background is included. The method we propose uses geometric similarity matching from thresholder images. and the two objects that have the greatest similarity are selected as eyes, also, we located mouth and nostrils in turn using eye location information and size information. Two kindes of gaze tracking methods are supposed in this paper. There are template matching method and neural network approach. It has been tested on several sequential facial images with different illuminating conditions and varied head poses, It returned quite a satisfactory performance in both speed and accuracy.