Solving Uncalibrated Photometric Stereo Using Fewer Images by Jointly Optimizing Low-rank Matrix Completion and Integrability.
Soumyadip SenguptaHao ZhouWalter ForkelRonen BasriTom GoldsteinDavid W. JacobsPublished in: J. Math. Imaging Vis. (2018)
Keyphrases
- low rank
- matrix completion
- singular values
- low rank matrix
- convex optimization
- rank minimization
- missing data
- singular value decomposition
- matrix factorization
- linear combination
- image data
- input image
- high dimensional data
- image classification
- trace norm
- semi supervised
- high order
- kernel matrix
- shape from shading
- photometric stereo
- missing values
- collaborative filtering
- pairwise
- least squares
- similarity measure
- pattern recognition
- training set
- rank aggregation
- convex relaxation
- small number
- lighting conditions
- image processing
- higher order
- single image
- markov random field
- feature points