Name
Abstract | ||
|---|---|---|
Point cloud compression is critical to deploy 3D applications like autonomous driving. However, LiDAR point clouds contain many disconnected regions, where redundant bits for unoccupied 3D space and weak correlations between points make it a troublesome problem to achieve efficient compression. This paper aims to aggregate LiDAR point clouds to get compact representations with full consideration o... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/TCSVT.2021.3098832 | IEEE Transactions on Circuits and Systems for Video Technology |
Keywords | DocType | Volume |
Three-dimensional displays,Geometry,Octrees,Laser radar,Correlation,Adaptation models,Entropy coding | Journal | 31 |
Issue | ISSN | Citations |
12 | 1051-8215 | 2 |
PageRank | References | Authors |
0.41 | 12 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Fei Song | 1 | 2 | 0.41 |
| Yiting Shao | 2 | 15 | 3.61 |
| W. Gao | 3 | 193 | 33.48 |
| Haiqiang Wang | 4 | 27 | 3.07 |
| Thomas Li | 5 | 2 | 0.41 |