Name
Abstract | ||
|---|---|---|
In this paper, we focus on recognizing 3D shapes from arbitrary views, i.e., arbitrary numbers and positions of viewpoints. It is a challenging and realistic setting for view-based 3D shape recognition. We propose a canonical view representation to tackle this challenge. We first transform the original features of arbitrary views to a fixed number of view features, dubbed canonical view representa... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/ICCV48922.2021.00046 | 2021 IEEE/CVF International Conference on Computer Vision (ICCV) |
Keywords | DocType | ISBN |
Computer vision,Three-dimensional displays,Shape,Computational modeling,Transforms | Conference | 978-1-6654-2812-5 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xin Wei | 1 | 0 | 0.34 |
| Yifei Gong | 2 | 1 | 3.05 |
| Fudong Wang | 3 | 0 | 0.34 |
| Xing Sun | 4 | 0 | 0.68 |