Abstract
This paper presents a novel method that automatically generates facial animation parameters (FAPs) as per MPEG 4 standard using a frontal face image. The proposed method extracts facial features like eye, eyebrow, mouth, nose etc. and these 2D features are used to evaluate facial parameters, namely called facial definition parameters using generic 3D face model. We determine FAPs by finding the difference between displacement of FDPs in specific expression face model and neutral face model. These FAPs are used to generate six basic expressions for any person with neutral face image. Novelty of our algorithm is that when expressions are mapped to another person it also captures expression detail such as wrinkle and creases. These FAPs can be used for expression recognition. We have tested and evaluated our proposed algorithm using standard database, namely, BU-3DFE.
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Patel, N., Zaveri, M.A. (2012). Automatic FAPs Determination and Expressions Synthesis. In: Wyld, D., Zizka, J., Nagamalai, D. (eds) Advances in Computer Science, Engineering & Applications. Advances in Intelligent and Soft Computing, vol 166. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-30157-5_1
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DOI: https://doi.org/10.1007/978-3-642-30157-5_1
Publisher Name: Springer, Berlin, Heidelberg
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