A fast point cloud segmentation algorithm based on region growth
X Ma, W Luo, M Chen, J Li, X Yan… - 2019 18th …, 2019 - ieeexplore.ieee.org
X Ma, W Luo, M Chen, J Li, X Yan, X Zhang, W Wei
2019 18th International Conference on Optical Communications and …, 2019•ieeexplore.ieee.orgPoint 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.
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.
Point 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.
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