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Compression of 3-D triangle mesh sequences based on vertex-wise motion vector prediction

机译:基于顶点运动矢量预测的3-D三角网格序列压缩

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We propose an efficient geometry compression algorithm for three-dimensional (3-D) mesh sequences based on the two-stage vertex-wise motion vector (MV) prediction. In general, the MV of a vertex is highly correlated to those of the adjacent vertices. To exploit this high correlation, we define the neighborhood of a vertex, and predict the MV of the vertex from those of the neighborhood. The error vectors are related to the local shape changes of 3-D objects, and still have redundancy. To remove the redundancy, the error vectors are also predicted, at the second stage, spatially or temporally by using a rate-distortion optimization technique. It is shown that the proposed algorithm has simpler structure than the existing segment-based algorithm, and yields better compression performance.
机译:我们提出了基于两阶段顶点方向运动矢量(MV)预测的三维(3-D)网格序列的高效几何压缩算法。通常,顶点的MV与相邻顶点的MV高度相关。为了利用这种高相关性,我们定义了一个顶点的邻域,并根据邻域的顶点预测了该顶点的MV。误差向量与3D对象的局部形状变化有关,并且仍然具有冗余性。为了消除冗余,还在第二阶段通过使用速率失真优化技术在空间或时间上预测误差向量。结果表明,与现有的基于分段的算法相比,该算法结构简单,压缩性能更好。

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