Adaptive Automatic Facial Feature Segmentation

Automatic facial feature detection is typically solved by usingmanually segmented imagestotrain a feature detector. In thispaper, we investigate whether it is possible toimprove the detection performance of such afeature 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 algorithmdemonstrate thatit is possible to improve the detection performance obtained from a small segmented training set by usinga larger number of additionalunsegmented images.

• Type: Conference
• Year: 1996
• Where: FGR
• Authors: Hasan Demirel, Thomas J. Clarke, Peter Y. K. Cheung
• Keywords: Automatic Facial Feature, Biometrics, Detection Performance, Facial Feature Detection, FGR 1996