PointSampler

Introduction

PointSampler is a lightweight, header-only C++ library for point sampling in arbitrary dimensions. It offers generic and reusable algorithms for:

• Random point generation
• Distance-based filtering
• Utility operations on points

The library is template-based and dimension-independent, making it suitable for 2D, 3D, or higher-dimensional spaces.

Usage Example

#include <point_sampler.hpp>
 
std::vector<Point<float, 2>> pts = ps::random<float, 2>(1000, {{0,1},{0,1}});
auto filtered = ps::distance_rejection_filter(pts, 0.05f);

Categories

• Random Sampling Functions
  • random.hpp
  • halton.hpp
  • hammersley.hpp
  • jittered_grid.hpp
  • latin_hypercube_sampling.hpp
  • poisson_disk_sampling.hpp
  • gaussian_clusters.hpp
  • importance_resampling.hpp
  • rejection_sampling.hpp
  • random_walk_filaments.hpp
• Filtering Functions
  • distance_rejection_filter.hpp
  • function_rejection_filter.hpp
  • random_rejection_filter.hpp
  • range.hpp
  • relaxation.hpp
• Clustering
  • kmeans_clustering.hpp
  • dbscan_clustering.hpp
  • percolation_clustering.hpp
• Data
  • metrics.hpp
• Point representation
  • point.hpp

Repository

GitHub: https://github.com/otto-link/PointSampler