Directional Properties of Colour Co-occurrence Features for Lip Location and Segmentation
AVBPA '01 Proceedings of the Third International Conference on Audio- and Video-Based Biometric Person Authentication
Audio-Visual Speech Recognition One Pass Learning with Spiking Neurons
ICANN '02 Proceedings of the International Conference on Artificial Neural Networks
Automatical detection of face features and exact face contour
Pattern Recognition Letters
Emotional Chinese talking head system
Proceedings of the 6th international conference on Multimodal interfaces
Lip contour extraction for language learning in VEC3D
Machine Vision and Applications
Robust lip segmentation method based on level set model
PCM'10 Proceedings of the 11th Pacific Rim conference on Advances in multimedia information processing: Part I
LevelSet versus AGSnakes as mouth's shape extraction algorithm
SSIP'05 Proceedings of the 5th WSEAS international conference on Signal, speech and image processing
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
A local region based approach to lip tracking
Pattern Recognition
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Active contours or snakes are widely used in object segmentation for their ability to integrate feature extraction and pixel candidate linking in a single energy minimizing process. But the sensitivity to parameters values and initialization is also a widely known problem. The performance of snakes can be enhanced by better initialization close to the desired solution. We present a fine mouth region of interest (ROI) extraction using gray level image and corresponding gradient information. We link this technique with an original snake method. The automatic snakes use spatially varying coefficients to remain along its evolution in a mouth-like shape. Our experimentations on a large image database prove its robustness regarding speakers change of the ROI mouth extraction and automatic snakes algorithms. The main application of our algorithms is video-conferencing.