@CONFERENCE\{IMM2007-05190,
    author       = "S. Darkner and M. V. Christensen and R. Larsen and R. R. Paulsen",
    title        = "Evaluating a method for automated rigid registration",
    year         = "2007",
    month        = "feb",
    keywords     = "Registration, Shape",
    booktitle    = "International Symposium on Medical Imaging 2007",
    volume       = "",
    series       = "",
    editor       = "",
    publisher    = "{SPIE} Medical Imaging",
    organization = "",
    address      = "San Diego",
    url          = "http://www2.compute.dtu.dk/pubdb/pubs/5190-full.html",
    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."
}