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 # Bucket-based Farthest point sampling for largest-scaled point clouds
 
+![](https://komarev.com/ghpvc/?username=hanm2019bfpsGPU)
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 we use an approximate KD-Tree to divide the point clouds into multi-buckets and use two geometry inequality to reduce the distance computation times and the data which need to load from memory
 
 we present the GPU implementation and [CPU implementation](https://github.com/hanm2019/FPS_CPU) of bucket-based farthest point sampling.