Locally linear isometric parameterization

  • Authors:
  • Xianfang Sun;Edwin R. Hancock

  • Affiliations:
  • ,School of Automation Science and Electrical Engineering, Beihang University, Beijing, P.R. China;Department of Computer Science, The University of York, York, UK

  • Venue:
  • EMMCVPR'05 Proceedings of the 5th international conference on Energy Minimization Methods in Computer Vision and Pattern Recognition
  • Year:
  • 2005

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Abstract

A general algorithm framework for 3D mesh parametrization is proposed in this paper. Under this framework, a parametrization algorithm is divided into three steps. In the first step, the linearly reconstructing weights of each vertex with respect to its neighbours are computed. These weights are then used to computed a initial parametrization mesh, and in the third step, this initial mesh is rotated and scaled to obtain a parametrization mesh with high isometric precision. Four parametrization algorithms are proposed based on this framework. Examples show the effectiveness and applicability of the parametrization algorithms proposed in the paper.