A Geometric Algorithm for Tubular Shape Reconstruction from Skeletal
  Representation
Guoqing Zhang Songzi Cat Juzi Cat
We introduce a novel approach for the reconstruction of tubular shapes from
skeletal representations. Our method processes all skeletal points as a whole,
eliminating the need for splitting input structure into multiple segments. We
represent the tubular shape as a truncated signed distance function (TSDF) in a
voxel hashing manner, in which the signed distance between a voxel center and
the object is computed through a simple geometric algorithm. Our method does
not involve any surface sampling scheme or solving large matrix equations, and
therefore is a faster and more elegant solution for tubular shape
reconstruction compared to other approaches. Experiments demonstrate the
efficiency and effectiveness of the proposed method. Code is avaliable at
https://github.com/wlsdzyzl/Dragon.