An Analytic-to-Holistic Approach for Face Recognition Based on a Single Frontal View
IEEE Transactions on Pattern Analysis and Machine Intelligence
The FERET Evaluation Methodology for Face-Recognition Algorithms
IEEE Transactions on Pattern Analysis and Machine Intelligence
Use of the Hough transformation to detect lines and curves in pictures
Communications of the ACM
Hierarchical Wavelet Networks for Facial Feature Localization
FGR '02 Proceedings of the Fifth IEEE International Conference on Automatic Face and Gesture Recognition
A robust method for eye features extraction on color image
Pattern Recognition Letters
Morphometric analysis of face in dysmorphology
Computer Methods and Programs in Biomedicine
Extracting eyebrow contour and chin contour for face recognition
Pattern Recognition
MAP estimation of chin and cheek contours in video sequences
EURASIP Journal on Applied Signal Processing
Facial feature detection using distance vector fields
Pattern Recognition
Automatic lip contour extraction from color images
Pattern Recognition
Facial feature localization using weighted vector concentration approach
Image and Vision Computing
Multiple face contour detection based on geometric active contours
FGR' 04 Proceedings of the Sixth IEEE international conference on Automatic face and gesture recognition
Accurate and quasi-automatic lip tracking
IEEE Transactions on Circuits and Systems for Video Technology
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We propose a complete framework for automatic detailed facial feature localization. Feature points and contours of the eyes, the nose, the mouth and the chin are of interest. Face detection is performed followed by the region detection that locates a rough bounding box of each facial component, and detailed features are then extracted within each bounding box. Since the feature points lie on the shape contours, we start from shape contour extraction, and then detect the feature points from the extracted contours. Experimental results show the robustness and accuracy of our methods. The main application of our work is automatic diagnosis based on facial features.