2D/3D model-based facial video coding/decoding at ultra-low bit-rate

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Abstract

For facial video coding/decoding in mobile communication, a 2D/3D model-based system was proposed: (1)Online appearance model and cylinder head model were combined to track 3D facial motion in particle filter; (2)3D facial animation was produced combining parameterized model and muscular model; (3)3D hair was synthesized by hair detection and 3D hair model; (4)3D coding/decoding of foreground and 2D coding/decoding of background were stitched. At ultra-low bit-rate, the object experiment confirmed the advantage between coding efficiency and decoding quality of it, and the between subjects experiment indicated the suitability of subjective face identification by it. © Springer-Verlag 2013.

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Yu, J., Wang, Z., & Cao, Y. (2013). 2D/3D model-based facial video coding/decoding at ultra-low bit-rate. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7733 LNCS, pp. 12–23). https://doi.org/10.1007/978-3-642-35728-2_2

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