3D-CSAD: Untrained 3D Anomaly Detection for Complex Manufacturing Surfaces

arXiv:2404.07748v1 Announce Type: cross
Abstract: The surface quality inspection of manufacturing parts based on 3D point cloud data has attracted increasing attention in recent years. The reason is that the 3D point cloud can capture the entire surface of manufacturing parts, unlike the previous practices that focus on some key product characteristics. However, achieving accurate 3D anomaly detection is challenging, due to the complex surfaces of manufacturing parts and the difficulty of collecting sufficient anomaly samples. To address these challenges, …

abstract anomaly anomaly detection arxiv attention cloud cloud data cs.cv cs.lg data detection focus key manufacturing practices product quality reason surface type