Robust Statistical Estimation Applied to Automatic Lip Segmentation

Authors:
B. Goswami;W. Christmas;J. Kittler
Affiliations:
Centre for Vision, Speech and Signal Processing, University of Surrey, Guidford, Surrey, United Kingdom GU2 7XH;Centre for Vision, Speech and Signal Processing, University of Surrey, Guidford, Surrey, United Kingdom GU2 7XH;Centre for Vision, Speech and Signal Processing, University of Surrey, Guidford, Surrey, United Kingdom GU2 7XH
Venue:
IbPRIA '09 Proceedings of the 4th Iberian Conference on Pattern Recognition and Image Analysis
Year:
2009

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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.