Mesh Denoising Guided by Patch Normal Co-Filtering via Kernel Low-Rank Recovery.
Mingqiang WeiJin HuangXingyu XieLigang LiuJun WangJing QinPublished in: IEEE Trans. Vis. Comput. Graph. (2019)
Keyphrases
- low rank
- denoising
- kernel matrix
- kernel matrices
- convex optimization
- total variation
- image denoising
- linear combination
- matrix factorization
- missing data
- singular value decomposition
- low rank matrix
- matrix completion
- image patches
- kernel learning
- rank minimization
- natural images
- high order
- high dimensional data
- matrix decomposition
- image processing
- kernel function
- kernel methods
- semi supervised
- minimization problems
- robust principal component analysis
- low rank matrices
- data matrix
- singular values
- collaborative filtering
- gaussian noise
- pattern recognition
- support vector
- data sets
- convex relaxation
- feature space
- reproducing kernel hilbert space
- feature extraction