Grassmannian Dimensionality Reduction for Optimized Universal Manifold Embedding Representation of 3D Point Clouds.
Yuval HaitmanJoseph M. FrancosLouis L. ScharfPublished in: ICCVW (2021)
Keyphrases
- dimensionality reduction
- manifold embedding
- subspace learning
- manifold learning
- head pose estimation
- computer vision
- low dimensional
- feature extraction
- high dimensional data
- principal component analysis
- high dimensionality
- dimension reduction
- data representation
- nearest neighbor
- linear discriminant analysis
- nonlinear dimensionality reduction