This study devises an innovative LiDAR point cloud down-sampling strategy that capitalizes on the properties of Fuzzy C Means (FCM) clustering membership functions in each dimension. Traditional ...
Abstract: The increasing adoption of advanced three-dimensional (3D) scanning technologies has made large-scale point clouds containing millions of 3D measurement points standard in applications like ...
Abstract: Point cloud sampling is a less explored research topic for this data representation. The most commonly used sampling methods are still classical random sampling and farthest point sampling.
PRISM is a novel color-guided stratified sampling method for RGB-LiDAR point clouds. Unlike conventional downsampling methods (Random, Voxel Grid, Farthest Point) that focus solely on spatial ...
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