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cs.CV2024
A Novel Representation of Periodic Pattern and Its Application to Untrained Anomaly Detection
Peng Ye, Chengyu Tao, Juan Du
There are a variety of industrial products that possess periodic textures or surfaces, such as carbon fiber textiles and display panels. Traditional image-based quality inspection…
eess.IV2024★ 1 cited
F2PAD: A General Optimization Framework for Feature-Level to Pixel-Level Anomaly Detection
Chengyu Tao, Hao Xu, Juan Du
Image-based inspection systems have been widely deployed in manufacturing production lines. Due to the scarcity of defective samples, unsupervised anomaly detection that only lever…
cs.CV2024
3D-CSAD: Untrained 3D Anomaly Detection for Complex Manufacturing Surfaces
Xuanming Cao, Chengyu Tao, Juan Du
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 cap…