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Partial update of active textures for efficient expression synthesis in model-based coding

机译:活动纹理的部分更新,用于基于模型的编码中的有效表达合成

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An image-based facial expression synthesis method is presented in this paper for a realistic face animation in model based coding. Differing from the conventional whole texture update method, we propose a partial texture update scheme in active texture areas to reduce the bitrate efficiently. Facial expressions are synthesized using temporal blending and spatial filtering so that a smooth texture fusion can be achieved. Active texture extraction, compression and composition are the principal steps in realizing the proposed scheme. The experiments on video sequences demonstrate the advantage of the proposed algorithm in low cost transmission with high fidelity reproduction. The life-like expressive human faces with wrinkles are generated at a bitrate of less than 40 kb/s.
机译:本文提出了一种基于图像的面部表情合成方法,用于基于模型的编码中的逼真的面部动画。与常规的整体纹理更新方法不同,我们在活动纹理区域中提出了一种局部纹理更新方案,以有效降低比特率。使用时间混合和空间滤波来合成面部表情,从而可以实现平滑的纹理融合。主动纹理提取,压缩和合成是实现该方案的主要步骤。在视频序列上的实验证明了该算法在低成本传输中具有高保真度再现的优势。栩栩如生的具有皱纹的人脸以低于40 kb / s的比特率生成。

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