Abstract
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 integral projections, we locate and define a region of interest for lips. Previously a statistical model of lips (ASM) was created in the same way, local appearance patterns of landmarks are modeled using Local Binary Patterns (LBP) , in this model we try to capture a variation from a closed lips to an opened lips. For the search task Local Binary Pattern Histogram (LBPH) are used.
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Morán L., L.E., Pinto-Elías, R. (2007). Lips Shape Extraction Via Active Shape Model and Local Binary Pattern. In: Gelbukh, A., Kuri Morales, Á.F. (eds) MICAI 2007: Advances in Artificial Intelligence. MICAI 2007. Lecture Notes in Computer Science(), vol 4827. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-76631-5_74
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DOI: https://doi.org/10.1007/978-3-540-76631-5_74
Publisher Name: Springer, Berlin, Heidelberg
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