论文标题
动态点云的3D运动矢量数据库
A 3D Motion Vector Database for Dynamic Point Clouds
论文作者
论文摘要
由于点云代表的大量数据以及连续帧的几何形状的差异，因此整个点云数据集的运动向量的产生可能需要大量的时间和计算资源。考虑到这一点，我们为两个流行的动态点云数据集的所有帧提供了一个3D运动矢量数据库。通过翻译运动估计程序获得运动矢量，该过程将点云划分为尺寸m x m x m的块，对于每个块，估算了运动向量。我们的数据库包含M = 8和M = 16的运动向量。这项工作的目的是描述可用于不同目的的公开可用的3D运动矢量数据库，例如动态点云的压缩。
Due to the large amount of data that point clouds represent and the differences in geometry of successive frames, the generation of motion vectors for an entire point cloud dataset may require a significant amount of time and computational resources. With that in mind, we provide a 3D motion vector database for all frames of two popular dynamic point cloud datasets. The motion vectors were obtained through translational motion estimation procedure that partitions the point clouds into blocks of dimensions M x M x M , and for each block, a motion vector is estimated. Our database contains motion vectors for M = 8 and M = 16. The goal of this work is to describe this publicly available 3D motion vector database that can be used for different purposes, such as compression of dynamic point clouds.
