Robust motion estimation using spatial Gabor-like filters
Signal Processing
Effective Tracking through Tree-Search
IEEE Transactions on Pattern Analysis and Machine Intelligence
Lip print recognition for security systems by multi-resolution architecture
Future Generation Computer Systems - Special issue: Modeling and simulation in supercomputing and telecommunications
Emotional Chinese talking head system
Proceedings of the 6th international conference on Multimodal interfaces
Real-time robot manipulation using mouth gestures in facial video sequences
BVAI'07 Proceedings of the 2nd international conference on Advances in brain, vision and artificial intelligence
Lip contour segmentation using kernel methods and level sets
ISVC'07 Proceedings of the 3rd international conference on Advances in visual computing - Volume Part II
Robust lip contour extraction using separability of multi-dimensional distributions
FGR' 04 Proceedings of the Sixth IEEE international conference on Automatic face and gesture recognition
Robust and efficient object segmentation using pseudo-elastica
Pattern Recognition Letters
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An algorithm for speaker's lip contour 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. A bayesian approach segments the mouth area using Markov random field modelling. Motion is combined with red hue lip information into a spatiotemporal neighbourhood. Simultaneously, a Region Of Interest and relevant boundaries points are automatically extracted. Next, an active contour using spatially varying coefficients is initialised with the results of the preprocessing stage. Finally, an accurate lip shape with inner and outer borders is obtained with good quality results in this challenging situation.