Abstract
To detect lip contour, a multi-direction level set approach (Multi-Level set) was proposed for detection according to the lip geometric distribution. Multi-Level set approach could strengthen the gradient information of the lip contour by using mutil-direction filters on images. And then the initial contour of lips was made to evolve to speak to people around the lip actual contour by minimuming energy function. Experiments on mouth images show that the improved accuracy of the shape contour detection using Multi-Level set approach is nearly 7.32% over level set approach.
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