Y. Liu, “Automatic Registration of Overlapping 3D Point Clouds Using Closest Points,” Image and Vision Computing, Vol. 24, No. 7, 2006, pp. 762-781. doi:10.1016/j.imavis.2006.01.009

has been cited by the following article:

• TITLE: Semi-Rigid Registration of 3D Points

  AUTHORS: Baowei Lin, Kouhei Sakai, Toru Tamaki, Bisser Raytchev, Kazufumi Kaneda, Koji Ichii

  KEYWORDS: Semi-Rigid Registration; Segmentation; Integer Programming; Rigid Alignment; Energy Minimization

  JOURNAL NAME: Journal of Signal and Information Processing, Vol.4 No.3B, October 16, 2013

  ABSTRACT: In this paper, we proposed a method for semi-rigid changed 3D point clouds registration. We first segment the point clouds into individual segments and then the alignment energy costs of each segment are calculated. The rough initial transformation is estimated by minimizing the energy cost using integer programming. The final registration results are obtained by rigid alignments of separated corresponded segments. Experimental result with simulated point clouds demonstrate that the concept of semi-rigid registration works well.