Download PDFOpen PDF in browserA Fast Point Cloud Segmentation Algorithm Based on Region GrowthEasyChair Preprint 10482 pages•Date: May 28, 2019AbstractPoint cloud segmentation is a key prerequisite for object classification recognition. We propose a fast region growing algorithm by using the neighborhood search, filter sampling, Euclidean clustering and region growth. Segmentation experiment on point cloud data in indoor environment demonstrated that segmentation accuracy and efficiency were improved by the proposed algorithm. Keyphrases: Euclidean clustering, point cloud segmentation, regional growth
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