| A taxonomy and evaluation of dense light field depth estimation algorithms O Johannsen, K Honauer, B Goldluecke, A Alperovich, F Battisti, Y Bok, ... Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 115 | 2017 |
| Trust your model: Light field depth estimation with inline occlusion handling H Schilling, M Diebold, C Rother, B Jähne Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 70 | 2018 |
| Learning to think outside the box: Wide-baseline light field depth estimation with EPI-shift T Leistner, H Schilling, R Mackowiak, S Gumhold, C Rother 2019 International Conference on 3D Vision (3DV), 249-257, 2019 | 36 | 2019 |
| On the design of a fractal calibration pattern for improved camera calibration H Schilling, M Diebold, M Gutsche, B Jähne tm-Technisches Messen 84 (7-8), 440-451, 2017 | 5 | 2017 |
| Surface normal reconstruction from specular information in light field data M Gutsche, H Schilling, M Diebold, C Garbe Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 4 | 2017 |
| Mind the gap-a benchmark for dense depth prediction beyond lidar H Schilling, M Gutsche, A Brock, D Spath, C Rother, K Krispin Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 3 | 2020 |
| High speed lossless image compression H Siedelmann, A Wender, M Fuchs Pattern Recognition: 37th German Conference, GCPR 2015, Aachen, Germany …, 2015 | 3 | 2015 |
| A fractal calibration pattern for improved camera calibration H Siedelmann, M Diebold, M Gutsche, H Aziz-Ahmad, B Jähne BILDVERARBEITUNG 2016, 1, 2016 | 1 | 2016 |
| Light Field Camera Arrays Calibration and Depth Estimation H Schilling | | 2023 |
| Recording, compression and representation of dense light fields H Schilling Stuttgart, Universität Stuttgart, Diplomarbeit, 0 | | |
