Name
Abstract | ||
|---|---|---|
•We proposed a novel non-rigid point set registration method that can preserve global and local structures.•A new effective method to calculate the support function from neighbors is used and the more accurate initial correspondences can be obtained.•The support contains two parts. The first part contains the matched neighbors of points. The second part contains the neighbors with the most similar relative spatial position.•The performance of our method outperforms state-of-the-art methods in this area. |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1016/j.patcog.2022.108952 | Pattern Recognition |
Keywords | DocType | Volume |
Non-rigid point set registration,Gaussian mixture model,Expectation–Maximization method,Local neighborhood information | Journal | 132 |
Issue | ISSN | Citations |
1 | 0031-3203 | 0 |
PageRank | References | Authors |
0.34 | 0 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Chuanju Liu | 1 | 0 | 0.34 |
| Dongmei Niu | 2 | 2 | 6.44 |
| Peng Wang | 3 | 385 | 106.03 |
| Xiuyang Zhao | 4 | 0 | 0.34 |
| Bo Yang | 5 | 519 | 52.33 |
| Caiming Zhang | 6 | 446 | 88.19 |