Computer graphics: principles and practice (2nd ed.)
Computer graphics: principles and practice (2nd ed.)
Chromatic correlation features for texture recognition
Pattern Recognition Letters
Statistical Chromaticity Models for Lip Tracking with B-splines
AVBPA '97 Proceedings of the First International Conference on Audio- and Video-Based Biometric Person Authentication
Automatic snakes for robust lip boundaries extraction
ICASSP '99 Proceedings of the Acoustics, Speech, and Signal Processing, 1999. on 1999 IEEE International Conference - Volume 06
Analysis and modelling of diversity contribution to ensemble-based texture recognition performance
MCS'05 Proceedings of the 6th international conference on Multiple Classifier Systems
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Automatic lip tracking is based on robust lip location and segmentation. Here an algorithm which can locate the position of the lips robustly without the constraints of lip highlighting or special lighting conditions is proposed. The proposed method is based on the directional properties of the features of co-occurrence matrices to distinguish between facial parts. The method essentially consists of three parts: a) a face location module b) a facial features location module c) a feature identification module which identifies the lips. The proposed algorithm uses the hue information only in the HSV colour space. The method has been tested on the XM2VTS database, with a high success rate. The use of hue and textural features to do the processing makes the algorithm robust under various lighting conditions.