Mesh offsetting plays an important role in discrete geometric processing. In
this paper, we propose a parallel feature-preserving mesh offsetting framework
with variable distance. Different from the traditional method based on distance
and normal vector, a new calculation of offset position is proposed by using
dynamic programming and quadratic programming, and the sharp feature can be
preserved after offsetting. Instead of distance implicit field, a spatial
coverage region represented by polyhedral for computing offsets is proposed.
Our method can generate an offsetting model with smaller mesh size, and also
can achieve high quality without gaps, holes, and self-intersections. Moreover,
several acceleration techniques are proposed for the efficient mesh offsetting,
such as the parallel computing with grid, AABB tree and rays computing. In
order to show the efficiency and robustness of the proposed framework, we have
tested our method on the quadmesh dataset, which is available at
[https://www.quadmesh.cloud]. The source code of the proposed algorithm is
available on GitHub at [https://github.com/iGame-Lab/PFPOffset]