Which exceptional low-dimensional projections of a Gaussian point cloud can be found in polynomial time?
Andrea MontanariKangjie ZhouPublished in: CoRR (2024)
Keyphrases
- point cloud
- low dimensional
- high dimensional
- surface reconstruction
- structure from motion
- dimensionality reduction
- manifold learning
- principal component analysis
- point sets
- input space
- high dimensional data
- euclidean space
- feature space
- point cloud data
- data points
- three dimensional
- stereo camera
- laser scanner
- triangular mesh
- linear subspace
- missing data
- nearest neighbor
- training data
- real world objects
- hough transform
- icp algorithm
- iterative closest point
- image processing