Compact Compression for 3D Dynamic Datasets in Certain Range

Ma Zhiqiang, Wang Lili, Zhang Xinwei, W. Ke, Zhao Qin-ping
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Abstract

In remote visualization for complex 3D dynamic datasets, existing vertex compression algorithms have low compression factor, and compressed datasets cannot be transmitted to client in once if its size is bigger than bandwidth. In order to solve these problems, this paper presents a compact impression for 3D dynamic datasets in certain range. We construct an equilateral triangle to obtain and compress parts of original datasets, which realizes rigid body decomposition in certain range. In order to promote compression factor, we also introduce a temporal rigid body decomposition to group vertices with temporal trajectory consistency. The results of the experiments show that our algorithm can obtain high compression factor for dynamic datasets in certain range to reduce limitation of bandwidth.
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三维动态数据集在一定范围内的压缩
在复杂三维动态数据集的远程可视化中,现有的顶点压缩算法存在压缩系数低的问题,压缩后的数据集如果大于带宽,无法一次性传输到客户端。为了解决这些问题,本文提出了一定范围内三维动态数据集的压缩印象。我们构造一个等边三角形来获取和压缩原始数据集的部分数据,实现一定范围内的刚体分解。为了提高压缩系数,我们还引入了时间刚体分解,对具有时间轨迹一致性的顶点进行分组。实验结果表明,该算法可以在一定范围内获得较高的动态数据集压缩系数,降低了带宽的限制。
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