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Compression of 3D mesh sequences based on an adaptive 3D wavelet transformation

机译:基于自适应3D小波变换的3D网格序列压缩

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In this paper, an efficient compression technique for 3D animation sequences of irregular meshes sharing the same connectivity at each frame is presented. This work is based on our "optimized pre-coded wavelet-based method". Our main contribution in this paper is using an adaptive three-dimension wavelet transform.rnWavelets are important tools widely used in signal processing to make a multi resolution representation for a given signal. In case of our 3D animation sequences, we use a 3D wavelet filtering along the temporal axis to exploit the temporal coherence. This discrete 3D temporal wavelet transform (3D TWT) results in an efficient energy concentration on the low pass temporal sub bands. The discrete 3D temporal wavelet transforms (3D TWT) is more efficient than Haar wavelet and also Mallat wavelet which were used in our "optimized pre-coded wavelet-based method".rnThe idea of our proposed technique is simple and the resulting chain is flexible. Simulation results show that our compression method provides good compression performances compared to some other efficient compression techniques.
机译:在本文中,提出了一种有效的压缩技术,用于不规则网格的3D动画序列在每一帧共享相同的连通性。这项工作是基于我们的“基于预编码小波的优化方法”。我们在本文中的主要贡献是使用自适应三维小波变换。小波是在信号处理中广泛使用的重要工具,可以对给定信号进行多分辨率表示。在我们的3D动画序列的情况下,我们使用沿时间轴的3D小波滤波来利用时间相干性。这种离散的3D时间小波变换(3D TWT)导致低通时间子带上的有效能量集中。离散3D时间小波变换(3D TWT)比我们的“优化的基于预编码小波的方法”中使用的Haar小波和Mallat小波更有效。rn我们提出的技术的思想很简单,生成的链很灵活。仿真结果表明,与其他一些有效的压缩技术相比,我们的压缩方法提供了良好的压缩性能。

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