arXiv (Cornell University)
A Survey on Computational Solutions for Reconstructing Complete Objects by Reassembling Their Fractured Parts
October 2024 • Jiaxin Lu, Ya Min Liang, Hongwei Han, Jing Hua, Junfeng Jiang, Xin Li, Qixing Huang
Reconstructing a complete object from its parts is a fundamental problem in many scientific domains. The purpose of this article is to provide a systematic survey on this topic. The reassembly problem requires understanding the attributes of individual pieces and establishing matches between different pieces. Many approaches also model priors of the underlying complete object. Existing approaches are tightly connected problems of shape segmentation, shape matching, and learning shape priors. We provide existing al…