| Feature-driven viewpoint placement for model-based surface inspection D Mosbach, P Gospodnetić, M Rauhut, B Hamann, H Hagen Machine Vision and Applications 32, 1-21, 2021 | 30 | 2021 |
| Viewpoint placement for inspection planning P Gospodnetić, D Mosbach, M Rauhut, H Hagen Machine Vision and Applications 33 (1), 2, 2022 | 26 | 2022 |
| Synthetic data for defect segmentation on complex metal surfaces J Fulir, L Bosnar, H Hagen, P Gospodnetić Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 15 | 2023 |
| Flexible surface inspection planning pipeline P Gospodnetic, D Mosbach, M Rauhut, H Hagen 2020 6th International Conference on Control, Automation and Robotics (ICCAR …, 2020 | 15 | 2020 |
| Procedural defect modeling for virtual surface inspection environments L Bosnar, H Hagen, P Gospodnetic IEEE Computer Graphics and Applications 43 (2), 13-22, 2023 | 9 | 2023 |
| Image synthesis pipeline for surface inspection L Bosnar, S Dutta, D Saric, T Weibel, M Rauhut, H Hagen, P Gospodnetic Proc. LEVIA 20: Leipzig Symp. Vis. Appl, 2020 | 8 | 2020 |
| Surface inspection planning using 3d visualization P Gospodnetic, M Rauhut, H Hagen OSF, 2019 | 7 | 2019 |
| Texture synthesis for surface inspection L Bosnar, M Rauhut, H Hagen, P Gospodnetic | 6 | 2022 |
| Detection and Visibility Estimation of Surface Defects Under Various Illumination P Gospodnetic, F Hirschenberger Croatian Computer Vision Workshop, 2016 | 5 | 2016 |
| Simulation of microstructures and machine learning K Schladitz, C Redenbach, T Barisin, C Jung, N Jeziorski, L Bosnar, ... International Conference on Continuum Models and Discrete Systems, 243-256, 2023 | 4 | 2023 |
| SynosIs: Image synthesis pipeline for machine vision in metal surface inspection J Fulir, N Jeziorski, L Bosnar, H Hagen, C Redenbach, T Herrfurth, ... arXiv preprint arXiv:2410.14844, 2024 | 3 | 2024 |
| Visual surface inspection planning for industrial applications P Gospodnetic Fraunhofer Verlag, 2021 | 3 | 2021 |
| Ocean Current Segmentation at Different Depths and Correlation with Temperature in a MPAS-Ocean Simulation P Gospodnetic, D Banesh, P Wolfram, M Petersen, H Hagen, J Ahrens, ... VIS 2018, 2018 | 2 | 2018 |
| Synthetically generated images for industrial anomaly detection M Wagenstetter, P Gospodnetic, L Bosnar, J Fulir, D Kreul, H Rushmeier, ... 2024 IEEE 29th International Conference on Emerging Technologies and Factory …, 2024 | 1 | 2024 |
| Automatic viewpoint estimation for inspection planning purposes S Dutta, M Rauhut, H Hagen, P Gospodnetić Pattern Recognition. ICPR International Workshops and Challenges: Virtual …, 2021 | 1 | 2021 |
| From research topic to industrial practice: An experience report P Gospodnetic, M Rauhut, H Hagen The Eurographics Association, 2020 | 1 | 2020 |
| Sequential PatchCore: Anomaly Detection for Surface Inspection using Synthetic Impurities R Mao, J Fulir, C Garth, P Gospodnetić arXiv preprint arXiv:2501.09579, 2025 | | 2025 |
| SYNOSIS dataset J Fulir, N Jeziorski, L Bosnar, H Hagen, C Redenbach, P Gospodnetic, ... | | 2024 |
| Aluminum Plates Dual Dataset R Mao, J Fulir, C Garth, P Gospodnetic | | 2024 |
| Photometric visibility matrix for the automatic selection of optimal viewpoints V Staderini, T Glück, R Mecca, P Gospodnetic, P Schneider, A Kugi 2024 International Conference on 3D Vision (3DV), 1240-1248, 2024 | | 2024 |
Hans hagenProfessor Informatik kaiserslauternAdresă de e-mail confirmată pe informatik.uni-kl.de