| Accurate calibration of multi-lidar-multi-camera systems Z Pusztai, I Eichhardt, L Hajder Sensors 18 (7), 2139, 2018 | 81 | 2018 |
| Image-guided ToF depth upsampling: a survey I Eichhardt, D Chetverikov, Z Jankó Machine Vision and Applications 28 (3), 267-282, 2017 | 41 | 2017 |
| Efficient initial pose-graph generation for global sfm D Barath, D Mishkin, I Eichhardt, I Shipachev, J Matas Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 25 | 2021 |
| Affine correspondences between central cameras for rapid relative pose estimation I Eichhardt, D Chetverikov Proceedings of the European Conference on Computer Vision (ECCV), 482-497, 2018 | 25 | 2018 |
| Method and system for generating a three-dimensional model C Benedek, D Csetverikov, Z Janko, T Sziranyi, A Borcs, O Jozsa, ... US Patent 10,163,256, 2018 | 24 | 2018 |
| Relative pose from deep learned depth and a single affine correspondence I Eichhardt, D Barath Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 15 | 2020 |
| Optimal multi-view surface normal estimation using affine correspondences D Baráth, I Eichhardt, L Hajder IEEE Transactions on Image Processing 28 (7), 3301-3311, 2019 | 14 | 2019 |
| Optimal multi-view correction of local affine frames I Eichhardt, D Barath arXiv preprint arXiv:1905.00519, 2019 | 13 | 2019 |
| Computer Vision Meets Geometric Modeling: Multi-View Reconstruction of Surface Points and Normals Using Affine Correspondences I Eichhardt, L Hajder Proceedings of the IEEE International Conference on Computer Vision (ICCV …, 2017 | 11 | 2017 |
| Progressive-X+: Clustering in the consensus space D Barath, D Rozumny, I Eichhardt, L Hajder, J Matas arXiv preprint arXiv:2103.13875 1 (2), 2021 | 8 | 2021 |
| Novel methods for image-guided ToF depth upsampling I Eichhardt, D Csetverikov, Z Jankó 2016 IEEE International Conference on Systems, Man, and Cybernetics - SMC …, 2016 | 8 | 2016 |
| A differential geometry approach to camera-independent image correspondence J Molnár, I Eichhardt Computer Vision and Image Understanding 169, 90-107, 2018 | 6 | 2018 |
| A brief survey of image-based depth upsampling D Csetverikov, I Eichhardt, Z Jankó [sn], 2015 | 5 | 2015 |
| Finding geometric models by clustering in the consensus space D Barath, D Rozumnyi, I Eichhardt, L Hajder, J Matas Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 4 | 2023 |
| Reconstructing atmospheric cloud particles from multiple fisheye cameras G Katai-Urban, I Eichhardt, V Otte, Z Megyesi, P Bixel Solar Energy 171, 171-184, 2018 | 4 | 2018 |
| Improvement of Camera Calibration using Surface Normals I Eichhardt, L Hajder 23rd International Conference on Pattern Recognition (ICPR), 3734--3739, 2016 | 4 | 2016 |
| A Novel Technique for Point-wise Surface Normal Estimation D Baráth, I Eichhardt In Proceedings of the 11th Joint Conference on Computer Vision, Imaging and …, 2016 | 4 | 2016 |
| Automatic alignment of large 3D data sets for facade reconstruction from car-mounted LIDAR measurements D Chetverikov, O Józsa, I Eichhardt 2013 IEEE 4th International Conference on Cognitive Infocommunications …, 2013 | 3 | 2013 |
| Gyors kameramozgás-becslés affin megfeleltetésekkel I Eichhardt, D Csetverikov | 1 | 2019 |
| New Method for the Estimation of Relative Motion between Central Cameras I Eichhardt, D Csetverikov Neumann János Számítógép-tudományi Társaság (NJSZT), 2018 | 1 | 2018 |
Daniel BarathETH Zürich在 ethz.ch 的电子邮件经过验证
