Refined Skeletal Features from Medial Point Clouds for Shape Analysis and Segmentation
Publications
Computing Refined Skeletal Features from Medial Point Clouds J. Kustra, A. Jalba, A. Telea. Pattern Recognition Letters 76(C), pp. 13-21, 2016
Visualization and Graphics ➤ Interaction ➤ Dept ICS ➤ Faculty of Science ➤ UU
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Multiscale Shape and Field Processing
Projects
- Dynamic Multi-fluid Simulations
- Spline dense medial axes (SDMD)
- Spline medial axes (SMAT)
- Skeleton-based interaction
- Digital hair removal
- Image gap detection
- Skeletonization benchmark
- Continuous abstraction
- 2D skeletonization
- Real-time CUDA skeletons
- Skeleton image coding
- Skin lesion segmentation
- Advection skeletons
- 3D skeletonization (voxels)
- 3D skeletonization (meshes)
- 3D shape segmentation (meshes)
- 3D shape segmentation (voxels)
- Thickness assessment
- Image inpainting
- Manifolds from point clouds
- Brain segmentation
- 2D Salience smoothing
- 3D Salience smoothing
- PDE field processing
- Image-based flow visualization
Other Research Topics
Research funding
This research was co-funded by the following projects/organizations:
- China Scholarship Council 2018-2022
- FAPESP (Brazil) 2015-2020
- NWO (Open competition) 2004-2008
- Capes-Nuffic (Brazil, NL) 2012-2015
- CNPq (Brazil) 2013-2016
- BRANETEC (Brazil, NL) 2013-2015
- MelanoImage (ANCS, RO), 2011-2014
- Philips Research (NL) 2010-2014