The authors propose a heuristics-guided parameter search strategy that enjoys an excellent trade-off between efficiency and robustness for point cloud registration. The method decomposes the original 6-DoF registration problem into three lower-dimensional sub-problems and applies the heuristics-guided parameter search in the solving progress to perform progressive outlier removal.
PCR-99 is a robust method for point cloud registration that outperforms the state of the art at 99% outlier ratio, offering superior robustness and speed.
提案されたPCR-99メソッドは、極端な外れ値比率に対応できる点群登録手法であり、高い効率性を持っています。