English(EN) 2L-LSH: A Locality-Sensitive Hash Function-Based Method For Rapid Point Cloud Indexing

2L-LSH 方法提供比 Kd-tree 和 Octree 更快的点云索引

作者 PulseAugur 编辑部 · [2 个来源] · 2026-04-23 09:01

研究人员开发了一种名为 2L-LSH 的新方法，用于高效搜索大型 3D 点云模型。该技术利用两步哈希策略快速查找邻近点，这对于 3D 模型重建和检索等任务至关重要。比较测试表明，在速度方面，2L-LSH 的性能显著优于 Kd-tree 和 Octree 等传统方法。 AI

影响引入了一种处理大型 3D 数据集的更快方法，有可能加速 3D 重建和检索等领域的应用。

排序理由这是一篇详细介绍点云处理新算法的研究论文。

AI 生成摘要 · Google Gemini · 来自 2 个来源。我们如何撰写摘要 →

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arXiv cs.CV TIER_1 English(EN) · Shurui Wang, Yuhe Zhang, Ruizhe Guo, Yaning Zhang, Yifei Xie, Xinyu Zhou · 2026-05-05 04:00

2L-LSH：一种基于局部敏感哈希函数的方法，用于快速点云索引

arXiv:2604.21442v2 Announce Type: replace Abstract: The development of 3D scanning technology has enabled the acquisition of massive point cloud models with diverse structures and large scales, thereby presenting significant challenges in point cloud processing. Fast neighboring …
arXiv cs.CV TIER_1 English(EN) · Xinyu Zhou · 2026-04-23 09:01

2L-LSH：一种基于局部敏感哈希函数的方法，用于快速点云索引

The development of 3D scanning technology has enabled the acquisition of massive point cloud models with diverse structures and large scales, thereby presenting significant challenges in point cloud processing. Fast neighboring points search is one of the most common problems, wh…