Name
Abstract | ||
|---|---|---|
In this study, the authors address a two-dimensional (2D) shape registration problem on data with anisotropic-scale deformation and noise. First, the model is formulated under the iterative closest point (ICP) framework, which is one of the most popular methods for shape registration. To overcome the effect of noise, the expectation maximisation algorithm is used to improve the model. Then, the st... |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1049/iet-cvi.2012.0147 | IET Computer Vision |
Keywords | Field | DocType |
expectation-maximisation algorithm,image registration,Lie groups,quadratic programming | Lie group,Mathematical optimization,Matrix (mathematics),Outlier,Robustness (computer science),Quadratic programming,Mathematics,Iterative closest point | Journal |
Volume | Issue | ISSN |
7 | 6 | 1751-9632 |
Citations | PageRank | References |
3 | 0.40 | 12 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yaxin Peng | 1 | 73 | 16.82 |
| Wei Lin | 2 | 3 | 0.40 |
| Shihui Ying | 3 | 233 | 23.32 |
| Ji-Gen Peng | 4 | 418 | 50.45 |