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Invariant characterization of DOVID security features using a photometric descriptor., , and . ICIP, page 3422-3426. IEEE, (2015)Depth and all-in-focus images obtained by multi-line-scan light-field approach., , , and . Image Processing: Machine Vision Applications, volume 9024 of SPIE Proceedings, page 902407. SPIE, (2014)Shape from Refocus., , , and . ISVC (2), volume 8888 of Lecture Notes in Computer Science, page 153-162. Springer, (2014)Analysis of the Future Potential of Autoencoders in Industrial Defect Detection., , , and . VISIGRAPP (4: VISAPP), page 282-289. SCITEPRESS, (2022)Encoding Semantic Attributes - Towards Explainable AI in Industry., , , and . PETRA, page 518-527. ACM, (2023)On the Estimation of the Wasserstein Distance in Generative Models., , and . GCPR, volume 11824 of Lecture Notes in Computer Science, page 156-170. Springer, (2019)On Optimal Illumination for DOVID Description Using Photometric Stereo., , and . ACIVS, volume 9386 of Lecture Notes in Computer Science, page 553-565. Springer, (2015)Robust Object Recognition under Partial Occlusions Using NMF., and . Comput. Intell. Neurosci., (2008)Depth Estimation within a Multi-Line-Scan Light-Field Framework., , , and . ISVC (2), volume 8888 of Lecture Notes in Computer Science, page 471-481. Springer, (2014)Convolutional Neural Networks for Steel Surface Defect Detection from Photometric Stereo Images., and . ISVC (1), volume 8887 of Lecture Notes in Computer Science, page 668-677. Springer, (2014)