Efficient Sampling Techniques for Point Clouds

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@article{1707249,
      author = {Hyacinthe Hamon},
      title = {Efficient Sampling Techniques for Point Clouds},
      journal = {Iconic Research And Engineering Journals},
      year = {2025},
      volume = {8},
      number = {8},
      pages = {938-944},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1707249.pdf},
      abstract = {This paper introduces BOLT (Bilateral filtering and Octree Lightweight Technique), a novel, fast, and parameter-free method for up-sampling point clouds. We leverage the structural efficiency of the octree data structure and detail-preserving properties of the bilateral filter to achieve a fast and parameter-free sampling method. Unlike the current state-of-the-art techniques, BOLT does not require any parameters, deep learning, fine-tuning, or any type of training, making it a suitable candidate for real-time applications. BOLT understands the underlying structure of the point cloud by dividing the point cloud into a hierarchical octree structure. Empty children are filled in the octree, and outliers are smoothed using a bilateral filter.},
      month = {February},
  }