Computational Visual Media (Jan 2023)

Practical construction of globally injective parameterizations with positional constraints

  • Qi Wang,
  • Wen-Xiang Zhang,
  • Yuan-Yuan Cheng,
  • Ligang Liu,
  • Xiao-Ming Fu

DOI
https://doi.org/10.1007/s41095-022-0269-5
Journal volume & issue
Vol. 9, no. 2
pp. 265 – 277

Abstract

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Abstract We propose a novel method to compute globally injective parameterizations with arbitrary positional constraints on disk topology meshes. Central to this method is the use of a scaffold mesh that reduces the globally injective constraint to a locally flipfree condition. Hence, given an initial parameterized mesh containing flipped triangles and satisfying the positional constraints, we only need to remove the flips of a overall mesh consisting of the parameterized mesh and the scaffold mesh while always meeting positional constraints. To successfully apply this idea, we develop two key techniques. Firstly, an initialization method is used to generate a valid scaffold mesh and mitigate difficulties in eliminating flips. Secondly, edge-based remeshing is used to optimize the regularity of the scaffold mesh containing flips, thereby improving practical robustness. Compared to state-of-the-art methods, our method is much more robust. We demonstrate the capability and feasibility of our method on a large number of complex meshes.

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