Name
Abstract | ||
|---|---|---|
Three-dimensional (3-D) object recognition task focuses on detecting the objects of a scene and estimating their 6-DOF pose via effective feature extraction methods. Most recent feature extraction methods are based on the deep neural networks and show good performances. However, these methods require rendering engine to assist in generating a large amount of training data, which need much time to ... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/TSMC.2020.2965729 | IEEE Transactions on Systems, Man, and Cybernetics: Systems |
Keywords | DocType | Volume |
Feature extraction,Object recognition,Databases,Annotations,Surface texture,Robots,Surface treatment | Journal | 51 |
Issue | ISSN | Citations |
11 | 2168-2216 | 0 |
PageRank | References | Authors |
0.34 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hongsen Liu | 1 | 2 | 1.38 |
| Yang Cong | 2 | 684 | 38.22 |
| Gan Sun | 3 | 64 | 13.55 |
| Y. Tang | 4 | 243 | 33.69 |