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Non-rigid Shape Registration: A Single Linear Least Squares Framework*
Mohammad Rouhani and Angel D. Sappa
Computer Vision Center, Edifici O, Campus UAB, 08193, Bellaterra, Barcelona, Spainrouhani@cvc.uab.es
asappa@cvc.uab.es
Abstract. 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.
*This work was supported by the Spanish Government under Research Program Consolider Ingenio 2010: MIPRCV (CSD2007-00018) and Projects TIN2011-25606 and TIN2011-29494-C03-02.
LNCS 7578, p. 264 ff.
lncs@springer.com
© Springer-Verlag Berlin Heidelberg 2012