A Computational Approach to Edge Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Feature extraction from faces using deformable templates
International Journal of Computer Vision
Accurate, Real-Time, Unadorned Lip Tracking
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
Automatic Lip Tracking: Bayesian Segmentation and Active Contours in a Cooperative Scheme
ICMCS '99 Proceedings of the IEEE International Conference on Multimedia Computing and Systems - Volume 2
Multimodal speaker/speech recognition using lip motion, lip texture and audio
Signal Processing - Special section: Multimodal human-computer interfaces
Real-Time Lip Contour Extraction and Tracking Using an Improved Active Contour Model
ISVC '08 Proceedings of the 4th International Symposium on Advances in Visual Computing, Part II
Lip contour extraction for language learning in VEC3D
Machine Vision and Applications
Attractor-Guided particle filtering for lip contour tracking
ACCV'06 Proceedings of the 7th Asian conference on Computer Vision - Volume Part I
A local region based approach to lip tracking
Pattern Recognition
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We present a lip contour extraction method using separability of color intensity distributions. Usually it is difficult to robustly extract the outer lip contour mainly because of the following two problems. First, the outer lip contour is often blurred. Secondly, the contrast between the skin and the lip region is often reduced by transformation from the color intensity to the gray scale intensity. To overcome these two problems we propose an edge detection method in which edge strength is defined as separability of two color intensity distributions. We apply the proposed method to lip contour extraction using an active contour model. We present several experimental results demonstrating the effectiveness of the proposed method.