Name
Title | ||
|---|---|---|
Dempster-Shafer evidence theory-based multi-feature learning and fusion method for non-rigid 3D model retrieval. |
Abstract | ||
|---|---|---|
This study introduces a novel multi-feature-based non-rigid three-dimensional (3D) model retrieval method. First, for each 3D model, compute the scale-invariant heat kernel signature (SI-HKS) descriptor and the wave kernel signature (WKS) descriptor of each vertex. Then, the normalised weighted bags of phrases feature is obtained and they are fed to the convolutional neural networks. The trust deg... |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1049/iet-cvi.2018.5293 | IET Computer Vision |
Keywords | DocType | Volume |
feature extraction,image fusion,image representation,image retrieval,inference mechanisms,learning (artificial intelligence),shape recognition,solid modelling,uncertainty handling | Journal | 13 |
Issue | ISSN | Citations |
3 | 1751-9632 | 0 |
PageRank | References | Authors |
0.34 | 0 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hui Zeng | 1 | 5 | 2.12 |
| Ran Zhang | 2 | 33 | 13.46 |
| Xiuqing Wang | 3 | 1 | 1.38 |
| Fu Dongmei | 4 | 4 | 3.08 |
| Qingting Wei | 5 | 0 | 0.34 |