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首页> 外文期刊>International Journal of Advanced Robotic Systems >Lossless Geometry Compression Through Changing 3D Coordinates into 1D:
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Lossless Geometry Compression Through Changing 3D Coordinates into 1D:

机译:通过将3D坐标更改为1D进行无损几何压缩:

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摘要

A method of lossless geometry compression on the coordinates of the vertexes for grid model is presented. First, the 3D coordinates are pre-processed to be transformed into a specific form. Then these 3D coordinates are changed into 1D data by making the three coordinates of a vertex represented by only a position number, which is made of a large integer. To minimize the integers, they are sorted and the differences between two adjacent vertexes are stored in a vertex table. In addition to the technique of geometry compression on coordinates, an improved method for storing the compressed topological data in a facet table is proposed to make the method more complete and efficient. The experimental results show that the proposed method has a better compression rate than the latest method of lossless geometry compression, the Isenburg-Lindstrom-Snoeyink method. The theoretical analysis and the experiment results also show that the important decompression time of the new method is short. Though the new method is explained in the case of a triangular grid, it can also be used in other forms of grid model.
机译:提出了一种在网格模型的顶点坐标上进行无损几何压缩的方法。首先,对3D坐标进行预处理以转换为特定形式。然后,通过使顶点的三个坐标仅由由大整数组成的位置编号表示,将这些3D坐标更改为1D数据。为了最小化整数,对它们进行排序,并将两个相邻顶点之间的差异存储在顶点表中。除了对坐标进行几何压缩的技术外,还提出了一种将压缩的拓扑数据存储在构面表中的改进方法,以使该方法更加完整和有效。实验结果表明,与最新的无损几何压缩方法Isenburg-Lindstrom-Snoeyink方法相比,该方法的压缩率更高。理论分析和实验结果也表明,该方法的重要减压时间短。尽管在三角形网格的情况下说明了该新方法,但也可以将其用于其他形式的网格模型。

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