Unsupervised lip segmentation under natural conditions
Résumé
An unsupervised algorithm for speaker's lip segmentation is presented in this paper. A color video sequence of speaker's face is acquired, under natural lighting conditions and without any particular make-up. First, a logarithmic color transform is performed from RGB to HI (hue, intensity) color space and sequence dependant parameters are evaluated. Second, a statistical approach using Markov random field modeling segment mouth shape using red hue predominant region and motion in a spatiotemporal neighborhood. Simultaneously, a Region Of Interest (ROI) is automatically extracted. Third, the speaker's lip shape is extracted from the final hue field with good quality results in this challenging situation.
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