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Multi-scale EM-ICP: A Fast and Robust Approach for Surface Registration (2002)
| Content Provider | CiteSeerX |
|---|---|
| Author | Granger, Sébastien Pennec, Xavier |
| Description | We investigate in this article the rigid registration of large sets of points, generally sampled from surfaces. We formulate this problem as a general Maximum-Likelihood (ML) estimation of the transformation and the matches. We show that, in the specific case of a Gaussian noise, it corresponds to the Iterative Closest Point algorithm (ICP) with the Mahalanobis distance. |
| File Format | |
| Language | English |
| Publisher | Springer |
| Publisher Date | 2002-01-01 |
| Publisher Institution | European Conference on Computer Vision (ECCV 2002), volume 2353 of LNCS |
| Access Restriction | Open |
| Subject Keyword | Surface Registration Specific Case Mahalanobis Distance Iterative Closest Point Algorithm Rigid Registration Multi-scale Em-icp Robust Approach Gaussian Noise Large Set General Maximum-likelihood |
| Content Type | Text |
| Resource Type | Article |
