GO: A two-step generative optimization method for point cloud registration

Yan Zhao, Jiahui Deng, Feihong Liu, Wen Tang, Jun Feng

Abstract: Highlights•A novel two-step generative optimization (GO) is proposed for rigid and non-rigid registration.•GO outperforms both traditional and deep learning methods in robustness and accuracy.•The generation of pseudo models expedites the convergence of GO.