一种三维点云模型的分层深度剥离方法

By preprocessing and normalization of the point cloud model, constructing a flipped point set and determining visibility, the layered depth stripping of the 3D point cloud model is realized, solving the problems of low efficiency and hardware dependence in the existing technology, and improving processing efficiency and data storage efficiency.

CN116310204BActive Publication Date: 2026-07-17NANJING NORMAL UNIVERSITY
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
NANJING NORMAL UNIVERSITY
Filing Date
2023-01-10
Publication Date
2026-07-17

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Abstract

本发明公开一种三维点云模型的分层深度剥离方法，确定对点云模型进行分层深度剥离的相关参数，对三维点云模型进行预处理，计算点云模型中各采样点的法向；计算点云模型的翻转点集；构建翻转点集的凸包，标记点云模型中的“备选可见点”；判定“备选可见点”的可见性，确定“可见点”；对三维点云模型进行深度剥离，将“已剥离点”从点云中剔除；将剔除后的点云视为新的当前点云，重复实施“已剥离点”剥离和标记工作，直至当前点云为空集为止。本发明无需对点云模型进行曲面重建或网格化处理；与网格模型相比，点集存储简单灵活，传输速率高，且数据量较小。
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