computer-vision-17
Point Cloud Segmentation
3260 papers • 126 benchmarks • 313 datasets
3D point cloud segmentation is the process of classifying point clouds into multiple homogeneous regions, the points in the same region will have the same properties. The segmentation is challenging because of high redundancy, uneven sampling density, and lack explicit structure of point cloud data. This problem has many applications in robotics such as intelligent vehicles, autonomous mapping and navigation. Source: 3D point cloud segmentation: A survey
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