Kernel-based adaptive sampling for image reconstruction and meshing.
Zichun ZhongJing HuaPublished in: Comput. Aided Geom. Des. (2016)
Keyphrases
- image reconstruction
- adaptive sampling
- monte carlo
- reconstructed image
- random sampling
- compressed sensing
- super resolution
- tomographic reconstruction
- inverse problems
- emission computed tomography
- kernel methods
- radon transform
- support vector machine
- maximum a posteriori
- machine learning
- reconstruction method
- limited angle
- kernel pca
- support vector
- image reconstruction algorithms
- artificial neural networks
- control charts
- positron emission tomography
- high quality