Intra-Frame Compression of Point Cloud Geometry using Boolean Decomposition

Rodrigo Rosário, Eduardo Peixoto
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引用次数: 6

Abstract

Point clouds are one of the most promising technologies for 3D content representation. Point clouds are a set of points described by their geometry information and additional attributes, of which colour is the most typical. When transmitting a point cloud, both geometry, colour and temporal information need to be transmitted, thus making compression efficiency key in exploiting this technology. In this paper, we propose a lossless intra coder of the geometry information of voxelized point clouds. Instead of using the popular octree approach, we use well-known techniques for coding of bi-level images, as well as a novel boolean decomposition method to further exploit the redundancy within the geometry. Results show that the proposed method outperforms other recent coders on the sequences tested.
基于布尔分解的点云几何帧内压缩
点云是3D内容表示中最有前途的技术之一。点云是由点的几何信息和附加属性描述的点的集合,其中颜色是最典型的。在传输点云时,需要传输几何、颜色和时间信息,因此压缩效率是利用该技术的关键。本文提出了一种体素化点云几何信息的无损编码方法。我们没有使用流行的八叉树方法,而是使用了众所周知的双层图像编码技术,以及一种新的布尔分解方法来进一步利用几何结构中的冗余。结果表明,该方法在测试序列上优于其他编码器。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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