Multi-View Reconstruction with Global Context for 3D Anomaly Detection *

作者：Yanan Sun, Yuqi Cheng, Yunkang Cao, Yuxin Zhang, Weiming Shen · 年份：2025 · DOI：10.1109/smc58881.2025.11343209 · 被引用次数：3 · 研究领域：Anomaly Detection Techniques and Applications、Robotics and Sensor-Based Localization、Advanced Neural Network Applications

3D anomaly detection is critical in industrial quality inspection. While existing methods achieve notable progress, their performance degrades in high-precision 3D anomaly detection due to insufficient global information. To address this, we propose Multi-View Reconstruction (MVR), a method that losslessly converts high-resolution point clouds into multi-view images and employs a reconstruction-based anomaly detection framework to enhance global information learning. Extensive experiments demonstrate the effectiveness of MVR, achieving 89.6% object-wise AU-ROC and 95.7% point-wise AU-ROC on the Real3D-AD benchmark.