Technology of Graphic & Image
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App. Res. of Comp. Printed Article
Vol. 36, 2019 No. 7
2205-2209

Efficient representation of static point cloud by using TSLVQ

Shi Zuxu1
Zeng An1
Vincent Ricordel2
Nicolas Normand2
1. College of Computer, Guangdong University of Technology, Guangzhou 511400, China
2. LS2N Laboratory, University de Nantes, Nantes 44306, France
DOI: 10.19734/j.issn.1001-3695.2018.01.0114

Abstract

Concerning the problems that in point cloud with a lot of temporal redundancy, this paper presented a novel lossy compression approach based on tree-structure lattice vector quantization for static point cloud. The proposed approach utilized the hierarchical packing of embed truncated lattices, which could solve the problem of representation inefficiency. Firstly, it enclosed the point cloud with a cube, then truncated the point cloud, embedded smaller-scale cubes into the bigger-scale cube, the multi-stage procedure of quantization, in every level, this method divided the cube to 8 sub-cutes or voxels as empty or non-empty subspace. Finally, in the predefined max level, it used the cube to represent all the other points in the same cube. Furthermore, it allowed for predefining max level to control coding complexity and coding precision to meet the real-time rendering requirement. Experimental results show that the octree decomposition has obvious advantages in 3D object real-time representation comparing with the existing gridding lossy compression, guaranteeing 3D model reconstruction precision.

Foundation Support

国家自然科学基金资助项目(61772143,61300107,61672168)
广州市科技计划资助项目(201601010034,201804010278)
广东省大数据分析与处理重点实验室开放基金资助项目(201801)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.01.0114
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 7
Section: Technology of Graphic & Image
Pages: 2205-2209
Serial Number: 1001-3695(2019)07-060-2205-05

Publish History

[2019-07-05] Printed Article

Cite This Article

石祖旭, 曾安, Vincent Ricordel, 等. 基于树型结构网格矢量量化的点云渲染算法 [J]. 计算机应用研究, 2019, 36 (7): 2205-2209. (Shi Zuxu, Zeng An, Vincent Ricordel, et al. Efficient representation of static point cloud by using TSLVQ [J]. Application Research of Computers, 2019, 36 (7): 2205-2209. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

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