%0 Conference Proceedings
%T Non-Rigid Shape Registration: A Single Linear Least Squares Framework
%A Mohammad Rouhani
%A Angel Sappa
%B 12th European Conference on Computer Vision
%D 2012
%V 7578
%I Springer Berlin Heidelberg
%@ 0302-9743
%@ 978-3-642-33785-7
%F Mohammad Rouhani2012
%O ADAS
%O exported from refbase (http://refbase.cvc.uab.es/show.php?record=2158), last updated on Thu, 13 Mar 2014 11:07:35 +0100
%X This paper proposes a non-rigid registration formulation capturing both global and local deformations in a single framework. This formulation is based on a quadratic estimation of the registration distance together with a quadratic regularization term. Hence, the optimal transformation parameters are easily obtained by solving a liner system of equations, which guarantee a fast convergence. Experimental results with challenging 2D and 3D shapes are presented to show the validity of the proposed framework. Furthermore, comparisons with the most relevant approaches are provided.
%U http://dx.doi.org/10.1007/978-3-642-33786-4_20
%P 264-277