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.
Abstract: We propose a novel point cloud simplification method that pre-serves surface features by integrating curvature estimation with farthest point sampling. Unlike neural network-based methods, ...
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 ...
Describe the abstract idea of a sampling distribution and how it reflects the sample to sample variability of a sample statistic or point estimate. Identify the ...
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