Paper Info
Title
3D Point Cloud Compression - A Survey.
Abstract
In recent years, 3D point clouds have enjoyed a great popularity for representing both static and dynamic 3D objects. When compared to 3D meshes, they offer the advantage of providing a simpler, denser and more close-to-reality representation. However, point clouds always carry a huge amount of data. For a typical example of a point cloud with 0.7 million points per 3D frame at 30 fps, the point cloud raw video needs a bandwidth around 500MB/s. Thus, efficient compression methods are mandatory for ensuring the storage/transmission of such data, which include both geometry and attribute information. In the last years, the issue of 3D point cloud compression (3D-PCC) has emerged as a new field of research. In addition, an ISO/MPEG standardization process on 3D-PCC is currently on-going. In this paper, a comprehensive overview of the 3D-PCC state-of-the-art methods is proposed. Different families of approaches are identified, described in details and summarized, including 1D traversal compression, 2D-oriented techniques, which take leverage of existing 2D image/video compression technologies and finally purely 3D approaches, based on a direct analysis of the 3D data.
Year
DOI
Venue
2019
10.1145/3329714.3338130
Web3D '19: The 24th International Conference on 3D Web Technology LA CA USA July, 2019
Keywords
Field
DocType
3D point cloud, compression, survey
Compression (physics),Tree traversal,Polygon mesh,Computer science,Popularity,Bandwidth (signal processing),Point cloud,Data compression,Computer engineering,Standardization
Conference
ISBN
Citations 
PageRank 
978-1-4503-6798-1
7
0.50
References 
Authors
0
3
Name
Order
Citations
PageRank
Cao Chao1174.57
Marius Preda219227.17
Titus B. Zaharia37112.32