| A modified Mask region‐based convolutional neural network approach for the automated detection of archaeological sites on high‐resolution light detection and ranging‐derived … A Bonhage, M Eltaher, T Raab, M Breuß, A Raab, A Schneider Archaeological Prospection 28 (2), 177-186, 2021 | 74 | 2021 |
| A relaxation scheme for the approximation of the pressureless Euler equations C Berthon, M Breuß, MO Titeux Numerical Methods for Partial Differential Equations: An International …, 2006 | 52 | 2006 |
| Perspective shape from shading: Ambiguity analysis and numerical approximations M Breuß, E Cristiani, JD Durou, M Falcone, O Vogel SIAM Journal on Imaging Sciences 5 (1), 311-342, 2012 | 51 | 2012 |
| Perspective shape from shading with non-Lambertian reflectance O Vogel, M Breuß, J Weickert Pattern Recognition: 30th DAGM Symposium Munich, Germany, June 10-13, 2008 …, 2008 | 48 | 2008 |
| PDE-Based Anisotropic Disparity-Driven Stereo Vision. H Zimmer, A Bruhn, L Valgaerts, M Breuß, J Weickert, B Rosenhahn, ... VMV, 263-272, 2008 | 40 | 2008 |
| Anisotropic continuous-scale morphology M Breuß, B Burgeth, J Weickert Pattern Recognition and Image Analysis: Third Iberian Conference, IbPRIA …, 2007 | 40 | 2007 |
| An adaptive domain-decomposition technique for parallelization of the fast marching method M Breuß, E Cristiani, P Gwosdek, O Vogel Applied Mathematics and Computation 218 (1), 32-44, 2011 | 37 | 2011 |
| Morphological amoebas are self-snakes M Welk, M Breuß, O Vogel Journal of Mathematical Imaging and Vision 39, 87-99, 2011 | 37 | 2011 |
| The correct use of the Lax–Friedrichs method M Breuß ESAIM: Mathematical Modelling and Numerical Analysis 38 (3), 519-540, 2004 | 36 | 2004 |
| Linear osmosis models for visual computing J Weickert, K Hagenburg, M Breuß, O Vogel Energy Minimization Methods in Computer Vision and Pattern Recognition: 9th …, 2013 | 34 | 2013 |
| Combining shape from shading and stereo: A joint variational method for estimating depth, illumination and albedo D Maurer, YC Ju, M Breuß, A Bruhn International Journal of Computer Vision 126 (12), 1342-1366, 2018 | 29 | 2018 |
| Fast and accurate surface normal integration on non-rectangular domains M Bähr, M Breuß, Y Quéau, AS Boroujerdi, JD Durou Computational Visual Media 3, 107-129, 2017 | 29 | 2017 |
| Making shape from shading work for real-world images O Vogel, L Valgaerts, M Breuß, J Weickert Pattern Recognition: 31st DAGM Symposium, Jena, Germany, September 9-11 …, 2009 | 29 | 2009 |
| A shock-capturing algorithm for the differential equations of dilation and erosion M Breuß, J Weickert Journal of Mathematical Imaging and Vision 25, 187-201, 2006 | 29 | 2006 |
| Innovations for shape analysis M Breuß, A Bruckstein, PA Maragos Springer, 2013 | 25* | 2013 |
| Fast shape from shading for Phong-type surfaces O Vogel, M Breuß, T Leichtweis, J Weickert Scale Space and Variational Methods in Computer Vision: Second International …, 2009 | 24 | 2009 |
| Photometric stereo for strong specular highlights M Khanian, AS Boroujerdi, M Breuß Computational Visual Media 4, 83-102, 2018 | 23 | 2018 |
| Adaptive filters for color images: median filtering and its extensions A Kleefeld, M Breuß, M Welk, B Burgeth International Workshop on Computational Color Imaging, 149-158, 2015 | 22 | 2015 |
| Numerical algorithms for perspective shape from shading M Breuß, E Cristiani, JD Durou, M Falcone, O Vogel Kybernetika 46, 207--225, 2010 | 22 | 2010 |
| Generalised Perspective Shape from Shading with Oren-Nayar Reflectance. YC Ju, S Tozza, M Breuß, A Bruhn, A Kleefeld BMVC, 2013 | 20 | 2013 |
Joachim WeickertProfessor of Mathematics and Computer Science, Saarland UniversityEmail confirmado em mia.uni-saarland.de
