Novel framework for unsupervised point cloud anomaly localization developed
The automatic detection of surface-level irregularities—defects or anomalies—in 3D data is of significant interest for various real-world purposes, such as industrial quality inspection, infrastructure monitoring, robotics, and autonomous systems. However, collecting annotated defect examples at […]
