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.
Domains
Other [cs.OH]
Origin : Files produced by the author(s)
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