PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Robust statistical estimation applied to automatic lip segmentation
B Goswami, William Christmas and Josef Kittler
In: Proceedings of the 4th Iberian Conference on Pattern Recognition and Image Analysis, June 2009, Portugal.

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.

EPrint Type:Conference or Workshop Item (Paper)
Additional Information:http://www.springerlink.com/content/m14m87077vq58368/
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Machine Vision
Speech
ID Code:6332
Deposited By:William Christmas
Deposited On:21 April 2011