PointManifold: Using Manifold Learning for Point Cloud Classification.
Dinghao YangWei GaoPublished in: CoRR (2020)
Keyphrases
- manifold learning
- point cloud
- dimension reduction
- feature extraction
- dimensionality reduction
- low dimensional
- nonlinear dimensionality reduction
- high dimensional
- laplacian eigenmaps
- surface reconstruction
- semi supervised
- feature space
- structure from motion
- preprocessing
- pattern recognition
- image classification
- support vector
- high dimensional data
- decision trees
- machine learning
- image sequences
- point sets
- feature selection
- embedding space
- manifold structure
- supervised learning
- training samples
- support vector machine
- active learning
- training set
- computer vision