Periodic Global Parameterization

Nicolas Ray 1 Wan Chiu Li 1 Bruno Lévy 1 Alla Sheffer 2 Pierre Alliez 3
1 ALICE - Geometry and Lighting
INRIA Lorraine, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
3 GEOMETRICA - Geometric computing
CRISAM - Inria Sophia Antipolis - Méditerranée
Abstract : We present a new globally smooth parameterization method for triangulated surfaces of arbitrary topology. Given two orthogonal piecewise linear vector fields defined over the input mesh (typically the estimated principal curvature directions), our method computes two piecewise linear periodic functions, aligned with the input vector fields, by minimizing an objective function. The bivariate function they define is a smooth parameterization almost everywhere on the surface, except in the vicinity of singular vertices, edges and triangles, where the derivatives of the parameterization vanish. We extract a quadrilateral chart layout from the parameterization function and propose an automatic procedure to detect the singularities, and fix them by splitting and re-parameterizing the containing charts. Our method can construct both quasi-conformal (angle preserving) and quasi-isometric (angle and area preserving) parameterizations. The more restrictive class of quasi-isometric parameterizations is constructed at the expense of introducing more singularities. The constructed parameterizations can be used for a variety of geometry processing applications. Since we can align the parameterization with the principal curvature directions, our result is particularly suitable for surface fitting and remeshing.
Type de document :
Article dans une revue
ACM Transactions on Graphics, Association for Computing Machinery, 2006
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Soumis le : mercredi 11 octobre 2006 - 15:34:11
Dernière modification le : mardi 25 octobre 2016 - 16:59:38
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  • HAL Id : inria-00104853, version 1



Nicolas Ray, Wan Chiu Li, Bruno Lévy, Alla Sheffer, Pierre Alliez. Periodic Global Parameterization. ACM Transactions on Graphics, Association for Computing Machinery, 2006. 〈inria-00104853〉



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