AdaHOSVD: an adaptive higher-order singular value decomposition method for point cloud denoising.
Lihua HuWenhao LiangYuting BaiJifu ZhangPublished in: Pattern Anal. Appl. (2023)
Keyphrases
- decomposition method
- point cloud
- singular values
- denoising
- higher order
- singular value decomposition
- natural images
- image denoising
- decomposition methods
- structure from motion
- pairwise
- point sets
- laser scanner
- point cloud data
- total variation
- image processing
- low rank
- decomposition algorithm
- high order
- stereo camera
- markov random field
- computer vision
- fundamental matrix
- image matching
- least squares
- dynamic programming
- high resolution
- viewpoint
- machine learning