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.
Citations
IRE Journals:
Hyacinthe Hamon
"Efficient Sampling Techniques for Point Clouds" Iconic Research And Engineering Journals Volume 8 Issue 8 2025 Page 684-690
IEEE:
Hyacinthe Hamon
"Efficient Sampling Techniques for Point Clouds" Iconic Research And Engineering Journals, 8(8)
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