Adaptive mouth segmentation using chromatic features
Pattern Recognition Letters
A Probabilistic Dynamic Contour Model for Accurate and Robust Lip Tracking
ICMI '02 Proceedings of the 4th IEEE International Conference on Multimodal Interfaces
Statistical lip-appearance models trained automatically using audio information
EURASIP Journal on Applied Signal Processing
PC-based asymmetry analyzer for facial palsy study in uncontrolled environment: A preliminary study
Computer Methods and Programs in Biomedicine
Lip localization based on active shape model and gaussian mixture model
PSIVT'06 Proceedings of the First Pacific Rim conference on Advances in Image and Video Technology
| Hi-index | 0.00 |
An unsupervised algorithm for speaker's lip segmentation is presented. A color video sequence of the speaker's face is acquired, under natural lighting conditions and without any particular make-up. First, a logarithmic color transform is performed from the RGB to HI (hue, intensity) color space and sequence dependant parameters are evaluated. Second, a statistical approach using Markov random field modeling segment the mouth shape using the 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.