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members:nieuwenh [2013/01/14 14:50] nieuwenh |
members:nieuwenh [2013/01/15 14:29] nieuwenh |
My research interests lie in the field of mathematical computer vision with application to semantic image segmentation, 3D-reconstruction of objects, optical flow validation and medical image analysis. Methodically, I am interested in the combination of discrete and continuous optimization methods for large systems of variables such as variational approaches, partial differential equations and Markov Random Fields on the one hand, and statistical learning theory and machine learning on the other. For fast implementations of the PDE based algorithms I often use graphics processing units (GPUs). | My research interests lie in the field of mathematical computer vision with application to semantic image segmentation, 3D-reconstruction of objects, optical flow validation and medical image analysis. Methodically, I am interested in the combination of discrete and continuous optimization methods for large systems of variables such as variational approaches, partial differential equations and Markov Random Fields on the one hand, and statistical learning theory and machine learning on the other. For fast implementations of the PDE based algorithms I often use graphics processing units (GPUs). |
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[[https://vision.in.tum.de/members/nieuwenh/publications|Publications]] | |
| [[https://vision.in.tum.de/members/nieuwenh/publications|Publications]] |
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[[https://vision.in.tum.de/teaching/ws2012/statmethods|Teaching]] | [[https://vision.in.tum.de/teaching/ws2012/statmethods|Teaching]] |
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| [[http://scholar.google.de/citations?user=Sk1QG84AAAAJ|Citations]] |
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| I am currently working in the following research areas: |
| |[[research:image_segmentation|{{:spezial:bib:nieuwenhuis-cremers-pami12.jpg?150|}}]]|[[research:image_segmentation]] Segmentation of images with semantic priors based on variational optimization methods| |
| |[[research:Optical Flow Estimation|{{:spezial:bib:nieuwenhuis_et_al_dagm10.jpg?150|}}]]|[[research:Optical Flow Estimation]] Estimation and statistical validation of methods for the computation of motion fields between consecutive image frames| |
| |[[research:Single View 3D Reconstruction|{{:research:topics:image-based_3d_reconstruction:cockatoo_recon.png?150|}}]]|[[research:Single View 3D Reconstruction]] Based on a single image the silhouette of the object is extracted. By applying additional constraints e.g. on the volume of the object or the shape along cross sections 3D models can be computed from variational approaches.| |
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