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Lip Features Automatic Extraction

Abstract : An algorithm for speaker's lip segmentation and features extraction 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. Second, a statistical approach using Markov random field modeling determines red hue prevailing region and motion in a spatiotemporal neighborhood. Third, the final label field is used to extract ROI (Region Of Interest) and geometrical features.
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https://hal-univ-pau.archives-ouvertes.fr/hal-01912843
Contributor : Gaelle Chancerel-Lannuzel <>
Submitted on : Monday, November 5, 2018 - 5:04:00 PM
Last modification on : Tuesday, April 28, 2020 - 1:02:46 AM

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  • HAL Id : hal-01912843, version 1

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Marc Liévin, Franck Luthon. Lip Features Automatic Extraction. Proceedings of the 1998 IEEE International Conference on Image Processing, ICIP-98, Chicago, Illinois, October 4-7, 1998, 1998, Unknown, Unknown Region. pp.168-172. ⟨hal-01912843⟩

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