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Segmentation of 3D Point Cloud Data Based on Supervoxel Technique
2020
Procedia Computer Science
Segmentation is a significant challenge posed to the computer vision applications dealing with the 3D point cloud data.In this paper, the bottomup 3D point cloud supervoxel technique is proposed for segmenting both outdoor and indoor scenes. Using this method, the dense point cloud data is r better computational efficiency. Initially, voxels and supervoxe data structure and voxelbased cloud connectivity algorith cut (CPC) of greedy cuts through a local connectivity is established
doi:10.1016/j.procs.2020.04.045
fatcat:w5qdy4mkr5dm7m7ruzafim4xsi