Name
Abstract | ||
|---|---|---|
This paper reviews the TPS-RPM algorithm (Chui and Rangarajan, 2003) for robustly registering two sets of points and demonstrates from a theoretical point of view its inherent limited performance when outliers are present in both point sets simultaneously. A double-sided outlier handling approach is proposed to overcome this limitation with a rigorous mathematical proof as the underlying theoretical support. This double-sided outlier handling approach is proved to be equivalent to the original formulation of the point matching problem. For a practical application, we also extend the TPS-RPM algorithms to non-rigid image registration by registering two sets of sparse features extracted from images. The intensity information of the extracted features are incorporated into feature matching in order to reduce the impact from outliers. Our experiments demonstrate the double-sided outlier handling approach and the efficiency of intensity information in assisting outlier detection. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1016/j.patrec.2011.01.015 | Pattern Recognition Letters |
Keywords | Field | DocType |
original formulation,outlier detection,image registration,tps-rpm algorithm,double-sided outlier handling approach,theoretical point,intensity information,feature extraction,outliers,robust point matching,thin plate spline,underlying theoretical support,practical application,inherent limited performance,non-rigid registration,robust point matching (rpm),thin plate splines (tps) | Spline (mathematics),Anomaly detection,Thin plate spline,Image processing,Artificial intelligence,Computer vision,Point set registration,Pattern recognition,Algorithm,Outlier,Feature extraction,Image registration,Mathematics | Journal |
Volume | Issue | ISSN |
32 | 7 | Pattern Recognition Letters |
Citations | PageRank | References |
15 | 0.66 | 19 |
Authors | ||
1 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jinzhong Yang | 1 | 128 | 9.78 |