Frame-Level Rate Control for Geometry-Based LiDAR Point Cloud Compression

被引:10
|
作者
Li, Li [1 ]
Li, Zhu [2 ]
Liu, Shan [3 ]
Li, Houqiang [1 ]
机构
[1] Univ Sci & Technol China, CAS Key Lab Technol Geo Spatial Informat Proc & A, Hefei 230027, Peoples R China
[2] Univ Missouri, Dept Comp Sci & Elect Engn, Kansas City, MO 64110 USA
[3] Tencent Amer, 661 Bryant St, Palo Alto, CA 94301 USA
关键词
Bit rate; Point cloud compression; Geometry; Laser radar; Parameter estimation; Standards; Software algorithms; Bit allocation; geometry-based point cloud compression; LiDAR point cloud; rate control; rate control model parameter estimation; OPTIMAL BIT ALLOCATION; RATE CONTROL ALGORITHM; DELAY RATE CONTROL; VIDEO; MODEL;
D O I
10.1109/TMM.2022.3167810
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The state-of-the-art compression method for Light Detection And Ranging (LiDAR) point clouds is the geometry-based point cloud compression (G-PCC) standard developed by Moving Pictures Experts Group immersive media working group (MPEG-I). However, there are currently no rate control algorithms designed specifically for Geometry-based LiDAR point cloud compression (G-LPCC). In this paper, we propose the first frame-level rate control algorithm for G-LPCC. We mainly have the following contributions in our proposed rate control algorithm. First, we model the rate-distortion (R-D) relationship for both the geometry and attribute. As the geometry bitrate is mainly determined by the frame-level geometry quantizer QG, we propose a relationship between the geometry bitrate and QG. In addition, as the attribute bitrate can be influenced by both the attribute quantizer QA and QG, we build a relationship among the attribute bitrate, QG, and QA. Second, we propose a bit allocation algorithm between the geometry and attribute based on the R-D modeling. The QG and QA are modeled into a proper relationship to obtain geometry and attribute bits to achieve good R-D performance. Third, we propose using the point density of LiDAR point clouds to estimate the geometry model parameters. The point density is calculated using the average distance between each point and its nearest neighbor after excluding some noisy points. The proposed rate control algorithm is implemented in the G-PCC reference software. The experimental results show that the proposed rate control algorithm can control the bitrate accurately with satisfactory R-D performance.
引用
收藏
页码:3855 / 3867
页数:13
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