Deep Learning Reads 3D Point Clouds to Detect and Quantify Damage in Ancient Masonry Walls
Researchers at Southeast University have developed a deep learning framework that automatically detects and quantifies surface damage in masonry heritage from 3D point cloud data, achieving millimeter-level depth accuracy on the Nanjing...
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