Real-IAD-MVN supplies multi-view normal vector data and a reconstruction baseline that outperforms prior multimodal methods for geometric industrial anomaly detection.
Photometric method for determining surface orientation from multiple images.Optical engineer- ing, 19(1):139–144, 1980
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A novel explicit neural height field method for descent-phase wide-angle imagery achieves greater spatial coverage than multi-view stereo while preserving estimation accuracy on simulated planetary terrains.
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Real-IAD MVN: A Multi-View Normal Vector Dataset and Benchmark for High-Fidelity Industrial Anomaly Detection
Real-IAD-MVN supplies multi-view normal vector data and a reconstruction baseline that outperforms prior multimodal methods for geometric industrial anomaly detection.
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Neural 3D Reconstruction of Planetary Surfaces from Descent-Phase Wide-Angle Imagery
A novel explicit neural height field method for descent-phase wide-angle imagery achieves greater spatial coverage than multi-view stereo while preserving estimation accuracy on simulated planetary terrains.