@CONFERENCE\{IMM2007-05126,
    author       = "M. F. Hansen and S. G. Erbou and M. Vester-Christensen and R. Larsen and L. B. Christensen",
    title        = "Surface-to-surface registration using level sets",
    year         = "2007",
    booktitle    = "{SCIA} 2007",
    volume       = "",
    series       = "",
    editor       = "",
    publisher    = "",
    organization = "",
    address      = "",
    url          = "http://www2.compute.dtu.dk/pubdb/pubs/5126-full.html",
    abstract     = "This paper presents a general approach for surface-to-surface
registration (S2SR) with the Euclidian metric using signed distance maps.
In addition, the method is symmetric such that the registration of a shape
A to a shape B is identical to the registration of the shape B to the shape
A.
The S2SR problem can be approximated by the image registration (IR)
problem of the signed distance maps (SDMs) of the surfaces confined to
some narrow band. By shrinking the narrow bands around the zero level
sets the solution to the {IR} problem converges towards the S2SR problem.
It is our hypothesis that this approach is more robust and less prone to
fall into local minima than ordinary surface-to-surface registration. The
{IR} problem is solved using the inverse compositional algorithm.
In the paper a set of 40 pelvic bones of Duroc pigs are registered to
each other with respect to the Euclidean transformation with both the
S2SR approach and iterative closest point approach. The results of the
two registration methods are compared both visually and with quality
measures."
}