Lips tracking biometrics for speaker recognition
International Journal of Biometrics
Robust Statistical Estimation Applied to Automatic Lip Segmentation
IbPRIA '09 Proceedings of the 4th Iberian Conference on Pattern Recognition and Image Analysis
Automatic lip contour extraction from color images
Pattern Recognition
An imaging system correlating lip shapes with tongue contact patterns for speech pathology research
CBMS'03 Proceedings of the 16th IEEE conference on Computer-based medical systems
A local region based approach to lip tracking
Pattern Recognition
Robust AAM-based audio-visual speech recognition against face direction changes
Proceedings of the 20th ACM international conference on Multimedia
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This paper presents a new optimization procedure for extracting the point-based lip contour using the active shape model (ASM). A 14-point ASM lip model is used to describe the lip contour. With the aid of fuzzy clustering analysis, a probability map of the color lip image is obtained and a region-based cost function is established. The new optimization procedure operates on the spatial domain (actual contour points) and all the points are pulled towards their desirable locations in each iteration. Hence, the lip contour evolution becomes better controlled and consequently fast convergence is achieved. The new procedure can also achieve real-time performance on lip contour extraction and tracking from lip image sequence.