A Geometric Algorithm for Tubular Shape Reconstruction from Skeletal Representation
<|reference_start|>A Geometric Algorithm for Tubular Shape Reconstruction from Skeletal Representation: 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.<|reference_end|>
@article{zhang2024a,
    title={A Geometric Algorithm for Tubular Shape Reconstruction from Skeletal
  Representation},
    author={Guoqing Zhang and Yang Li},
    journal={arXiv preprint arXiv:2402.12797},
    year={2024},
    doi={10.1007/978-981-97-5128-0_10},
    archivePrefix={arXiv},
    eprint={2402.12797},
    primaryClass={cs.CV cs.CG}
}