Skip to Main content Skip to Navigation
Conference papers

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.
Document type :
Conference papers
Complete list of metadata

Cited literature [14 references]  Display  Hide  Download
Contributor : Alain Monteil Connect in order to contact the contributor
Submitted on : Sunday, October 16, 2011 - 9:49:30 PM
Last modification on : Wednesday, August 7, 2019 - 12:14:40 PM
Long-term archiving on: : Thursday, November 15, 2012 - 9:45:58 AM


Files produced by the author(s)


  • HAL Id : inria-00632874, version 1



Boris Gutman, Yalin Wang, Tony Chan, Paul M. Thompson, Arthur W. Toga. Shape Registration with Spherical Cross Correlation. 2nd MICCAI Workshop on Mathematical Foundations of Computational Anatomy, Oct 2008, New-York, United States. pp.56-67. ⟨inria-00632874⟩



Record views


Files downloads