点云压缩研究进展与趋势  

Progress and Perspectives of Point Cloud Compression

作　　者：张卉冉 董震[1,2] 杨必胜 黄荣刚[3,4] 徐大展 ZHANG Huiran;DONG Zhen;YANG Bisheng;HUANG Ronggang;XU Dazhan(State Key Laboratory of Information Engineering in Surveying,Mapping and Remote Sensing,Wuhan University,Wuhan 430079,China;Engineering Research Center for Spatio-Temporal Data Smart Acquisition and Application,Ministry of Education of China,Wuhan University,Wuhan 430079,China;State Key Laboratory of Geodesy and Earth􀆳s Dynamics,Innovation Academy for Precision Measurement Science and Technology,Chinese Academy of Sciences,Wuhan 430077,China;Beijing Key Laboratory of Urban Spatial Information Engineering,Beijing 100038,China;Zhejiang Academy of Surveying&Mapping,Hangzhou 310012,China)

机构地区：[1]武汉大学测绘遥感信息工程国家重点实验室,湖北武汉430079 [2]时空数据智能获取技术与应用教育部工程研究中心,湖北武汉430079 [3]中国科学院精密测量科学与技术创新研究院大地测量与地球动力学国家重点实验室,湖北武汉430077 [4]城市空间信息工程北京市重点实验室,北京100038 [5]浙江省测绘科学技术研究院,浙江杭州310012

出　　处：《武汉大学学报（信息科学版）》2023年第2期192-205,共14页Geomatics and Information Science of Wuhan University

基　　金：城市空间信息工程北京市重点实验室项目(2020208)。

摘　　要：三维点云为物理世界精细数字化提供了高精度的三维表达方式,广泛应用于三维建模、智慧城市、自主导航系统、增强现实等领域。然而点云的数据海量、非结构化、密度不均等特点给点云的存储和传输带来了巨大挑战,因此在有限的存储空间容量和网络传输带宽中实现低比特率、低失真率的点云压缩具有重要的理论意义和实用价值。围绕点云压缩中的研究现状、标准框架和评价指标,阐述国内外点云压缩算法研究工作、运动图像专家组压缩标准框架以及几何和属性信息质量评价指标的最新进展,分析比较3种开源点云压缩算法在点云压缩公开数据集下的性能表现,并对点云压缩的主要发展方向趋势予以展望。Objectives:With the rapid development of the reality acquisition technologies,such as laser scanning and structured light scanning,point cloud has become a high-precision three-dimensional holographic representation for the physics world.As the third important data source,point cloud is very suitable for presenting 3D model and geographic and spatial information,and pushes forward an immense influence on smart city,autonomous driving application and augmented reality.However,the massive,unstructured,and uneven density of point cloud data brings challenges to onboard and offboard storage as well as real-time transmission.Hence,efficient compression methods,which balance between bit rate and quality,are mandatory for ensuring the storage and transmission of such data.Methods:Firstly,we describe different families of approaches in details and summarize the basic technologies that are usually used in 3D point cloud compression.Secondly,we provide detailed description of three open source point cloud codec algorithms and their coding performances.Finally,the promising development tendency of the static point cloud compression is summarized.Results:This paper summarizes the state-of-the-art of domestic and foreign static point cloud compression algorithms,the standard specifications released by moving picture experts group and evaluation metrics for point cloud compression.Conclusions:The purpose is to open up a vision for the further reseach on the static point cloud compression technology to a certain extent,boost the advancement of theoretical research significance and practical application value in this technical area.

关 键 词：三维点云 压缩算法 几何信息编码 属性信息编码 点云质量评价 

分 类 号：P237[天文地球—摄影测量与遥感]