Evaluating a method for automated rigid registration | Sune Darkner, Martin Vester Christensen, Rasmus Larsen, Rasmus Reinhold Paulsen
| | Abstract | We evaluate a novel method for fully automated rigid registration
of 2D manifolds in 3D space based on distance maps, the Gibbs
sampler and Iterated Conditional Modes (ICM). The method is tested
against the ICP considered as the gold standard for automated
rigid registration. Furthermore, the influence of different norms
and sampling point densities is evaluated. The performance of the
two methods has been evaluated on data consisting of 178 scanned
ear impressions taken from the right ear. To quantify the
difference of the two methods we calculate the registration cost
and the mean point to point distance. T-test for common mean are
used to determine the performance of the two methods (supported by
a Wilcoxon signed rank test). The performance influence of
sampling density, sampling quantity, and norms is analyzed using a
similar method. | | Keywords | Registration, Shape | | Type | Conference paper [With referee] | | Conference | International Symposium on Medical Imaging 2007 | | Year | 2007 Month February | | Publisher | SPIE Medical Imaging | | Address | San Diego | | BibTeX data | [bibtex] | | IMM Group(s) | Image Analysis & Computer Graphics |
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