Abstract
This paper presents a statistical-structural constraint model to represent and generate cartoon face wrinkles. A weighted constraint cost is defined to measure constraint of age, facial structure and parameter on wrinkles. Then wrinkle generation model is built in the sense of minimum constraint cost. Through clustering, age constraint and its parameters are learned from wrinkle samples with respect to regions and age group. According to facial structure, region-center wrinkles are computed to realize structural constraint on wrinkles. Having obtained the two constraints and parameters, generation model is optimized to produce wrinkles. Experimental results have demonstrated validity of the model.
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Wei, P., Liu, Y., Zheng, N., Yang, Y. (2010). A Statistical-Structural Constraint Model for Cartoon Face Wrinkle Representation and Generation. In: Zha, H., Taniguchi, Ri., Maybank, S. (eds) Computer Vision – ACCV 2009. ACCV 2009. Lecture Notes in Computer Science, vol 5996. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-12297-2_45
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DOI: https://doi.org/10.1007/978-3-642-12297-2_45
Publisher Name: Springer, Berlin, Heidelberg
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