Graph Wavelet-Based Point Cloud Geometric Denoising with Surface-Consistent Non-Negative Kernel Regression.
Ryosuke WatanabeKeisuke NonakaEduardo PavezTatsuya KobayashiAntonio OrtegaPublished in: ICASSP (2023)
Keyphrases
- point cloud
- kernel regression
- denoising
- surface reconstruction
- laplace beltrami
- point cloud data
- laser scanner
- object surface
- triangular mesh
- normal vectors
- regression model
- icp algorithm
- nadaraya watson
- structure from motion
- visual hull
- point sets
- implicit surfaces
- noisy images
- image denoising
- graph laplacian
- image processing
- regression methods
- three dimensional
- stereo camera
- linear regression
- geometric constraints
- parameter optimization
- shape recovery
- hough transform
- high resolution
- neural network
- range data
- differential evolution
- d objects
- data points
- high dimensional
- feature selection