Point Cloud Segmentation Based on Radial Reflection

This paper introduces a. novel 3D segmentation algorithm, which works directly on point clouds to address the problem of partitioning a 3D object into useful sub-parts. In the last few decades; many different algorithms have been proposed in this growing field; but most of them are only working on complete meshes. However; in robotics, computer graphics; or other fields it is not always possible to work directly on a mesh. Experimental evaluations of a number of complex objects demonstrate the robustness and the efficiency of the proposed algorithm and the results prove that it compares well with a number of state-of-the-art 3D object segmentation algorithms.