Name
Title | ||
|---|---|---|
Study of parameterizations for the rigid body transformations of the scan registration problem |
Abstract | ||
|---|---|---|
The iterative closest point (ICP) algorithm is the de facto standard for geometric alignment of three-dimensional models when an initial relative pose estimate is available. The basis of the algorithm is the minimization of an error function that takes point correspondences into account. Four closed-form solution methods are known for minimizing this function. This paper presents novel linear solutions to the scan registration problem, i.e., to the problem of putting and aligning 3D scans in a common coordinate system. We extend the methods for registering n-scans in a global and simultaneous fashion, such that the registration of the nth scan influences all previous registrations in one step. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1016/j.cviu.2010.03.007 | Computer Vision and Image Understanding |
Keywords | Field | DocType |
previous registration,closed-form solution method,icp algorithm,rigid body transformation,simultaneous fashion,registration problem,error function,3d point cloud registration,point correspondence,novel linear solution,geometric alignment,3d scan matching,iterative closest point,three-dimensional model,three dimensional,rigid body,pose estimation,coordinate system,closed form solution | Coordinate system,Error function,Computer vision,De facto standard,Iterative method,Image processing,Rigid body,Artificial intelligence,Image registration,Mathematics,Iterative closest point | Journal |
Volume | Issue | ISSN |
114 | 8 | Computer Vision and Image Understanding |
Citations | PageRank | References |
15 | 0.84 | 31 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Andreas Nüchter | 1 | 1341 | 90.03 |
| Jan Elseberg | 2 | 179 | 11.94 |
| Peter Schneider | 3 | 15 | 0.84 |
| Dietrich Paulus | 4 | 377 | 71.34 |