Low-Rank Matrix Fitting Based on Subspace Perturbation Analysis with Applications to Structure from Motion.
Hongjun JiaAleix M. MartínezPublished in: IEEE Trans. Pattern Anal. Mach. Intell. (2009)
Keyphrases
- structure from motion
- low rank matrix
- low rank
- missing data
- rank minimization
- matrix factorization
- high dimensional data
- bundle adjustment
- singular value decomposition
- affinity matrix
- point cloud
- image sequences
- computer vision
- convex optimization
- camera parameters
- low dimensional
- principal component analysis
- sparse matrix
- approximation methods
- feature tracking
- least squares
- high dimensional
- matrix completion
- dimensionality reduction
- feature space
- motion segmentation
- subspace learning
- multibody
- camera motion
- feature extraction
- linear combination
- singular values
- data matrix
- high order
- data mining
- video sequences
- reprojection error
- factorization method
- motion estimates
- active appearance models
- denoising
- collaborative filtering