Facial pose estimation using a symmetrical feature model
ICME'09 Proceedings of the 2009 IEEE international conference on Multimedia and Expo
Facial expression recognition using facial features andmanifold learning
ISVC'10 Proceedings of the 6th international conference on Advances in visual computing - Volume Part III
Robust feature extraction for facial image quality assessment
WISA'10 Proceedings of the 11th international conference on Information security applications
ISCIS'06 Proceedings of the 21st international conference on Computer and Information Sciences
Automated conformance testing for ISO/IEC 19794-5 Standard on facial photo specifications
International Journal of Biometrics
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The computerized process of locating human facial features such as the eyes, nose and mouth in a head and shoulders image is crucial to such applications as automatic face identification and model-based video coding. A new model-based algorithm for locating these major features is developed. The algorithm estimates the parameters of the ellipse which best fits the head view in the image and uses these parameters to calculate the estimated locations of the facial features. It then refines the estimated coordinates of the eyes, mouth, and nose by exploiting the vertical and horizontal projections of the pixels in windows around the estimated locations of the features. The algorithm has been implemented and tested with over twelve hundred images, and simulation results indicate that the algorithm is robust to variations in subject head shape, eye shape, age, and motion such as tilting and nodding of the head.