Presenting a Novel Pipeline for Performance Comparison of V-PCC and G-PCC Point Cloud Compression Methods on Datasets with Varying Properties

被引:0
|
作者
Christensen, Albert [1 ]
Lehotsky, Daniel [1 ]
Poulsen, Mathias [1 ]
Moeslund, Thomas [1 ]
机构
[1] Aalborg Univ, Visual Anal & Percept Lab, Rendsburggade 14, DK-9000 Aalborg, Denmark
关键词
Point Cloud Compression; 3D Compression; V-PCC; G-PCC; Draco; Performance Comparison Pipeline;
D O I
10.5220/0010820200003124
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The increasing availability of 3D sensors enables an ever increasing amount of applications to utilize 3D captured content in the form of point clouds. Several promising methods for compressing point clouds have been proposed but lacks a unified method for evaluating their performance on a wide array of point cloud datasets with different properties. We propose a pipeline for evaluating the performance of point cloud compression methods on both static and dynamic point clouds. The proposed evaluation pipeline is used to evaluate the performance of MPEG's G-PCC octree RAHT and MPEG's V-PCC compression codecs.
引用
收藏
页码:387 / 393
页数:7
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