Change Detection of 3D Mural Surface Based on Multi-view Contour Points of LiDAR Data
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.
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