Name
Abstract | ||
|---|---|---|
In this work, we propose a new sequential point cloud upsampling method called SPU, which aims to upsample sparse, non-uniform, and orderless point cloud sequences by effectively exploiting rich and complementary temporal dependency from multiple inputs. Specifically, these inputs include a set of multi-scale short-term features from the 3D points in three consecutive frames (i.e., the previous/cu... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/TCSVT.2021.3104304 | IEEE Transactions on Circuits and Systems for Video Technology |
Keywords | DocType | Volume |
Three-dimensional displays,Feature extraction,Shape,Task analysis,Superresolution,Estimation,Solid modeling | Journal | 31 |
Issue | ISSN | Citations |
12 | 1051-8215 | 1 |
PageRank | References | Authors |
0.36 | 5 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kai Wang | 1 | 1734 | 195.03 |
| Lu Sheng | 2 | 127 | 13.50 |
| Shuhang Gu | 3 | 701 | 28.25 |
| Dong Xu | 4 | 7616 | 291.96 |