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.

翻译：我们提出一种从骨架表示重建管状形状的新方法。该方法将全部骨架点作为整体处理，无需将输入结构分割为多个片段。我们采用体素哈希方式将管状形状表示为截断符号距离函数（TSDF），通过简单几何算法计算体素中心与物体间的符号距离。本方法无需任何表面采样方案或求解大型矩阵方程，因此相比其他管状形状重建方法具有更快速、更优雅的特性。实验证明了该方法的效率与有效性。代码开源在：https://github.com/wlsdzyzl/Dragon。