Controlling computer by lip gestures employing neural networks
RSCTC'10 Proceedings of the 7th international conference on Rough sets and current trends in computing
Intelligent video and audio applications for learning enhancement
Journal of Intelligent Information Systems
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In this work we assume a frontal view of a face for the lips shape extraction, then the first step is locate a face inside a digital image, for this task we use techniques based in color to extract only the pixels with skin tone, a templates based in integral projections are applied to verify and locate the face, using chromatic feature of the lips and integral projections, we locate and define a region of interest for lips. Previously a statistical model of lips (ASM) was created, in this model we try to capture a variation of a closed lips to an opened lips. For the search task the gradient vector flow (GVF) is used. The initial contour can even start far and across from the boundaries and will converge to boundary concavities[2]. When ASM converge, the lips shape is extracted and recognized.