一种基于LiDAR多视轮廓点的三维壁画变化检测方法

doi:10.3969/j.issn.0255-8297.2024.05.002

摘要/Abstract

摘要： 提出了一种三维壁画表面变化检测方法。首先通过点云配准和主成分分析算法处理壁画点云数据，利用高斯球映射在多视线方向提取特征轮廓线；然后结合体素网格移动和四维曲面拟合技术，实现对壁画几何变化的精确检测。实际应用结果证明，该方法在检测精度和效率上均有明显优势，对古文物保护与修复具有重要价值。

关键词: 三维壁画, 点云, 轮廓点, 变化检测

Abstract: In this paper, we propose a novel method for detecting changes in 3D mural surfaces. This method processes the mural point cloud data by point cloud alignment and principal component analysis (PCA) algorithm. It extracts the feature contour lines using Gaussian sphere mapping in the direction of multiple lines of sight. Combined with voxel grid shifting and four-dimensional surface fitting techniques, accurate detection of geometric changes of frescoes is achieved. The practical application results demonstrate significant advantages in detection accuracy and efficiency, which is of great value for the protection and restoration of ancient cultural relics.

Key words: three-dimensional mural, point cloud, contour points, change detection

中图分类号:

TP75

肖开荣, 孟庆祥, 杨鹤, 龚元夫. 一种基于LiDAR多视轮廓点的三维壁画变化检测方法[J]. 应用科学学报, 2024, 42(5): 733-746.

XIAO Kairong, MENG Qingxiang, YANG He, GONG Yuanfu. Change Detection of 3D Mural Surface Based on Multi-view Contour Points of LiDAR Data[J]. Journal of Applied Sciences, 2024, 42(5): 733-746.

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