Abstract
Automatic lip segmentation is an indispensable pre-requisite in face-video applications that make use of the mouth-region. Lip segmentation can be treated as a three-stage process: mouth-region detection, separation of the constituent clusters in this region and identification of the cluster containing the lip pixels. This paper describes a novel method of performing automatic, single-frame, chromaticity based lip segmentation with no prior model information or heuristic assumptions. It uses a robust statistical estimator to identify the different regions in the image and then performs post-processing based on cluster colour and shape to identify the lip region.
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Goswami, B., Christmas, W., Kittler, J. (2009). Robust Statistical Estimation Applied to Automatic Lip Segmentation. In: Araujo, H., Mendonça, A.M., Pinho, A.J., Torres, M.I. (eds) Pattern Recognition and Image Analysis. IbPRIA 2009. Lecture Notes in Computer Science, vol 5524. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02172-5_27
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DOI: https://doi.org/10.1007/978-3-642-02172-5_27
Publisher Name: Springer, Berlin, Heidelberg
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