Abstract
We present an automatic lip contour extraction and tracking method based on an improved active contour model, which introduces a novel image gradient detection based on the segmented lip, tongue and oral cavity image obtained using a nonlinear transformation of the YCbCr color space and a novel entropy analysis based segmentation. The proposed method provides encouraging results with different mouth shapes (with the appearance of teeth, tongue and oral cavity) under various illuminations.
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Chen, J., Tiddeman, B., Zhao, G. (2008). Real-Time Lip Contour Extraction and Tracking Using an Improved Active Contour Model. In: Bebis, G., et al. Advances in Visual Computing. ISVC 2008. Lecture Notes in Computer Science, vol 5359. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-89646-3_23
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DOI: https://doi.org/10.1007/978-3-540-89646-3_23
Publisher Name: Springer, Berlin, Heidelberg
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