Name
Title | ||
|---|---|---|
Quadratic Terms Based Point-to-Surface 3D Representation for Deep Learning of Point Cloud |
Abstract | ||
|---|---|---|
In this paper, we introduce a novel point-to-surface representation for 3D point cloud learning. Unlike the previous methods that mainly adopt voxel, mesh, or point coordinates, we propose to tackle this problem from a new perspective: learn a set of quadratic terms based static and global reference surfaces to describe 3D shapes, such that the coordinates of a 3D point (x, y, z) can be extended t... |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1109/TCSVT.2021.3095233 | IEEE Transactions on Circuits and Systems for Video Technology |
Keywords | DocType | Volume |
Three-dimensional displays,Shape,Feature extraction,Task analysis,Surface reconstruction,Training,Surface treatment | Journal | 32 |
Issue | ISSN | Citations |
5 | 1051-8215 | 1 |
PageRank | References | Authors |
0.36 | 0 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Tiecheng Sun | 1 | 2 | 1.04 |
| Guanghui Liu | 2 | 56 | 11.62 |
| Ru Li | 3 | 3 | 3.08 |
| Shuaicheng Liu | 4 | 363 | 28.26 |
| Shuyuan Zhu | 5 | 156 | 24.72 |
| Bing Zeng | 6 | 30 | 4.00 |