Shape decomposition and understanding of point cloud objects based on perceptual information
Proceedings of the 9th ACM SIGGRAPH Conference on Virtual-Reality Continuum and its Applications in Industry
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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.