Name
Title | ||
|---|---|---|
A Performance Evaluation of Correspondence Grouping Methods for 3D Rigid Data Matching. |
Abstract | ||
|---|---|---|
Seeking consistent point-to-point correspondences between 3D rigid data (point clouds, meshes, or depth maps) is a fundamental problem in 3D computer vision. While a number of correspondence selection methods have been proposed in recent years, their advantages and shortcomings remain unclear regarding different applications and perturbations. To fill this gap, this paper gives a comprehensive eva... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/TPAMI.2019.2960234 | IEEE Transactions on Pattern Analysis and Machine Intelligence |
Keywords | DocType | Volume |
Three-dimensional displays,Shape,Measurement,Detectors,Feature extraction,Object recognition,Clutter | Journal | 43 |
Issue | ISSN | Citations |
6 | 0162-8828 | 3 |
PageRank | References | Authors |
0.36 | 37 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jiaqi Yang | 1 | 102 | 10.71 |
| Ke Xian | 2 | 55 | 8.99 |
| Peng Wang | 3 | 194 | 29.38 |
| Yanning Zhang | 4 | 1613 | 176.32 |