A hybrid approach to mouth features detection

title: A hybrid approach to mouth features detection
author(s): Maja Pantic, Milan Tomc and Leon J.M. Rothkrantz
published in: October 2001
appeared in: Proc. of the IEEE Int. Conf. on System, Man and Cybernetics (SMC) Tucson, Arizona, USA
pages: 1188-1193
publisher: IEEE Press
PDF (862 KB)

Abstract

This paper presents a novel, robust and flexible method for extracting four mouth features (top of the upper lip, bottom of the lower lip, left and right mouth corners) from facial image sequences. While robustness is referred to subject variability, pose, and image quality, flexibility is begotten by efficient fusion of several information sources and expounding the certainty of the generated results.

 
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