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Titlebook: Advances in Visual Computing; Third International George Bebis,Richard Boyle,Tom Malzbender Conference proceedings 2007 Springer-Verlag Be

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Image Segmentation That Optimizes Global Homogeneity in a Variational Frameworknism has uniform treatment toward texture, gray level, and color boundaries. Intensities or colors of the image are first coarsely quantized into a number of classes. Then a class map is formed by having each pixel labeled with the class identity its gray or color level is associated with. With this
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Lip Contour Segmentation Using Kernel Methods and Level Setsier is trained to recognise lip colour over a variety of faces. The pixel-level information that the trained classifier outputs is integrated effectively by minimising an energy functional using level set methods, which yields the lip contour(s). The method works over a wide variety of face types, a
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