Name
Title | ||
|---|---|---|
A new feature-based method for robust and efficient rigid-body registration of overlapping point clouds |
Abstract | ||
|---|---|---|
We propose a new feature-based registration method for rigid-body alignment of overlapping point clouds (PCs) efficiently under the influence of noise and outliers. The proposed registration method is independent of the initial position and orientation of PCs, and no assumption is necessary about their underlying geometry. In the process, we define a simple and efficient geometric descriptor, a novel k-NN search algorithm that outperforms most of the existing nearest neighbor search algorithms used for the same task, and a new algorithm to find corresponding points between PCs based on the invariance of Euclidian distance under rigid-body transformation. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1007/s00371-008-0248-6 | The Visual Computer |
Keywords | Field | DocType |
nearest neighbor search,overlapping point cloud,efficient rigid-body registration,efficient geometric descriptor,euclidian distance,new feature-based method,rigid-body alignment,novel k-nn search algorithm,new algorithm,proposed registration method,new feature-based registration method,corresponding point,rigid-body transformation,rigid body,point cloud,feature extraction,search algorithm | Computer vision,Search algorithm,Invariant (physics),Pattern recognition,Best bin first,Computer science,Euclidean distance,Feature extraction,Rigid body,Artificial intelligence,Point cloud,Nearest neighbor search | Journal |
Volume | Issue | ISSN |
24 | 7 | 1432-2315 |
Citations | PageRank | References |
8 | 0.53 | 12 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Cagatay Basdogan | 1 | 993 | 89.89 |
| A. C. Öztireli | 2 | 183 | 12.94 |