3DSymm: Robust and Accurate 3D Reflection Symmetry Detection
作者：
Highlights：
• We find reflection symmetry in 3D point clouds using an optimization technique.
• Robust to outliers, perturbation from the perfect symmetry, and missing parts.
• Empirically show that the proposed optimization problem is non-convex.
• A fast descriptor-free randomized algorithm to initialize the symmetry plane.
• A closed-form solution for the global 3D reflection symmetry plane.
摘要
•We find reflection symmetry in 3D point clouds using an optimization technique.•Robust to outliers, perturbation from the perfect symmetry, and missing parts.•Empirically show that the proposed optimization problem is non-convex.•A fast descriptor-free randomized algorithm to initialize the symmetry plane.•A closed-form solution for the global 3D reflection symmetry plane.
论文关键词：Reflection symmetry,Point cloud,Optimization
论文评审过程：Received 16 August 2019, Revised 19 May 2020, Accepted 31 May 2020, Available online 1 June 2020, Version of Record 11 June 2020.
论文官网地址：https://doi.org/10.1016/j.patcog.2020.107483
