Oliver Demetz
Oliver Demetz
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Zitiert von
Zitiert von
Why is the census transform good for robust optic flow computation?
D Hafner, O Demetz, J Weickert
SSVM 2013, 210-221, 2013
The Complete Rank Transform: A Tool for Accurate and Morphologically Invariant Matching of Structures
O Demetz, D Hafner, J Weickert
British Machine Vision Conference, 2013
Simultaneous HDR and Optic Flow Computation
D Hafner, O Demetz, J Weickert
22nd International Conference on Pattern Recognition (ICPR 2014), 2014
Learning brightness transfer functions for the joint recovery of illumination changes and optical flow
O Demetz, M Stoll, S Volz, J Weickert, A Bruhn
Computer Vision–ECCV 2014: 13th European Conference, Zurich, Switzerland …, 2014
Anisotropic range image integration
C Schroers, H Zimmer, L Valgaerts, A Bruhn, O Demetz, J Weickert
Pattern Recognition: Joint 34th DAGM and 36th OAGM Symposium, Graz, Austria …, 2012
Optic flow scale space
O Demetz, J Weickert, A Bruhn, H Zimmer
Scale Space and Variational Methods in Computer Vision: Third International …, 2012
Morphologically invariant matching of structures with the complete rank transform
O Demetz, D Hafner, J Weickert
International Journal of Computer Vision 113, 220-232, 2015
Feature invariance versus change estimation in variational motion estimation
O Demetz
Cross Anisotropic Cost Volume Filtering for Segmentation.
V Kramarev, O Demetz, C Schroers, J Weickert
ACCV 2012, 803-814, 2012
Mathematical foundations and generalisations of the census transform for robust optic flow computation
D Hafner, O Demetz, J Weickert, M Reißel
Journal of Mathematical Imaging and Vision 52, 71-86, 2015
Graph Cuts in Computer Vision
O Demetz
Universität des Saarlandes, 2009
Beauty with variational methods: an optic flow approach to hairstyle simulation
O Demetz, J Weickert, A Bruhn, M Welk
Scale Space and Variational Methods in Computer Vision: First International …, 2007
fed: Fast Explicit Diffusion for C/C+
S Grewenig, J Weickert, A Bruhn, P Gwosdek, O Demetz
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