In this paper, we investigate the suitability of existing point set registration algorithms for the task of pose estimation of industrial parts. Numerous algorithms with different characteristics have been developed already. However, no comparative analysis regarding the performance in the context of industrial parts have been conducted yet. We implement a comparative study by applying various point set registration algorithms to an industrial part and varying the point cloud density. The results of our study provide insights into the performance of different algorithms and shed light on the best practices for point set registration in the context of industrial parts.

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Analysis of Point Set Registration Algorithms for Industrial Parts

  • Oguz Kedilioglu,
  • Yanming Zhao,
  • Martin Landesberger,
  • Christian Hofmann,
  • Michael Hofmann,
  • Jörg Franke,
  • Sebastian Reitelshöfer

摘要

In this paper, we investigate the suitability of existing point set registration algorithms for the task of pose estimation of industrial parts. Numerous algorithms with different characteristics have been developed already. However, no comparative analysis regarding the performance in the context of industrial parts have been conducted yet. We implement a comparative study by applying various point set registration algorithms to an industrial part and varying the point cloud density. The results of our study provide insights into the performance of different algorithms and shed light on the best practices for point set registration in the context of industrial parts.