Mathematical morphology based automated control point detection from human facial image
Machine Graphics & Vision International Journal
Accurate facial feature localization on expressional face images based on a graphical model approach
PCM'10 Proceedings of the Advances in multimedia information processing, and 11th Pacific Rim conference on Multimedia: Part II
An efficient facial expression detection system
Machine Graphics & Vision International Journal
Image space I3 and eigen curvature for illumination insensitive face detection
ICIAR'05 Proceedings of the Second international conference on Image Analysis and Recognition
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Existing techniques for facial feature point detection from color images include template matching, facial geometry and symmetry analysis, mathematical morphology, luminance and chrominance analysis, and PCA. However, these techniques are plagued by poor performance in the presence of scale variations. In this paper, a hybrid technique is proposed for eye, nose and lip corner detection, which employs a combination of chrominance ,luminance and curvature analysis of the intensity surface of the face image , along with PCA and Radon Transform Techniques, in order to provide a superior performance with reduced computational complexity, even in the presence of scale variations.