通过BSP量化的点集压缩

A. Bordignon, T. Lewiner, H. Lopes, G. Tavares, Rener Castro
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引用次数: 8

摘要

本文介绍了一种新的点集压缩方案。该方案依赖于考虑点集几何结构的自适应二进制空间划分(BSP)。这种选择在压缩方案中引入几何信息而不是组合信息。为了有效地提高最终的压缩比,该分区采用渐进式编码,减少了每次细分时用于量化的比特数。该策略将几何编码的额外成本分配到最大数量的点上,比以前的技术平均压缩15%
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Point set compression through BSP quantization
This work introduces a new compression scheme for point sets. This scheme relies on an adaptive binary space partition (BSP) which takes into account the geometric structure of the point set. This choice introduces geometrical rather than combinatorial information in the compression scheme. In order to effectively improve the final compression ratio, this partition is encoded in a progressive manner, decreasing the number of bits used for the quantisation at each subdivision. This strategy distributes the extra cost of the geometry encoding onto the maximal number of points, compressing in average 15% more than previous techniques
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