Rgb 3D Anomaly Detection And Segmentation

The task of RGB+3D anomaly detection and segmentation involves identifying and classifying abnormal objects and regions by combining color images (RGB) and three-dimensional data (3D). Its goal is to accurately locate and categorize anomalies in complex scenes, enhancing the robustness and precision of detection. This technology has significant application value and potential in areas such as industrial quality inspection, medical image analysis, and autonomous driving.