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

机译:基于模型编码中有效表达合成有效纹理的部分更新

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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 40kb/s.
机译:本文提出了一种基于图像的面部表情合成方法,用于基于模型编码中的现实脸部动画。与传统的整个纹理更新方法不同,我们提出了一个有效纹理区域的部分纹理更新方案,以有效地减少比特率。使用时间混合和空间过滤合成面部表达,从而可以实现平滑的纹理融合。主动纹理提取,压缩和组成是实现所提出的方案的主要步骤。视频序列的实验证明了具有高保真再现的低成本传输中所提出的算法的优点。具有皱纹的寿命的富有富有尖的人面在小于40kb / s的比特率下产生。

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