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MICCAI
2004
Springer

Robust Generalized Total Least Squares Iterative Closest Point Registration

10 years 3 months ago
Robust Generalized Total Least Squares Iterative Closest Point Registration
Abstract. This paper investigates the use of a total least squares approach in a generalization of the iterative closest point (ICP) algorithm for shape registration. A new Generalized Total Least Squares (GTLS) formulation of the minimization process is presented opposed to the traditional Least Squares (LS) technique. Accounting for uncertainty both in the target and in the source models will lead to a more robust estimation of the transformation. Robustness against outliers is guaranteed by an iterative scheme to update the noise covariances. Experimental results show that this generalization is superior to the least squares counterpart.
Raúl San José Estépar, Anders
Added 15 Nov 2009
Updated 15 Nov 2009
Type Conference
Year 2004
Where MICCAI
Authors Raúl San José Estépar, Anders Brun, Carl-Fredrik Westin
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