Adaptive PCA-Scale Optimization for Edge Extraction from 3D Scanned Cultural Heritage Point Clouds
An adaptive neighborhood scale selection method for local PCA, designed for robust edge extraction from large-scale 3D scanned point clouds, and the use of octree-based spatial indexing ensures computational efficiency, making the method practical for field-based heritage conservation and structural analysis on consumer-grade hardware.