Shape Registration with Spherical Cross Correlation

Abstract : We present a framework for shape alignment that generalizes several existing methods.We assume that the shape is a closed genus zero surface. Our framework requires a diffeomorphic surface mapping to the 2-sphere which preserves rotation. Our similarity measure is a global spherical cross-correlation function of surface-intrinsic scalar attributes, weighted by the cross-correlation of the parameterization distortion. The final similarity measure may be customized according to the surface- intrinsic scalar functions used in the application.
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Communication dans un congrès
Xavier Pennec. 2nd MICCAI Workshop on Mathematical Foundations of Computational Anatomy, Oct 2008, New-York, United States. pp.56-67, 2008
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Boris Gutman, Yalin Wang, Tony Chan, Paul M. Thompson, Arthur W. Toga. Shape Registration with Spherical Cross Correlation. Xavier Pennec. 2nd MICCAI Workshop on Mathematical Foundations of Computational Anatomy, Oct 2008, New-York, United States. pp.56-67, 2008. 〈inria-00632874〉

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