Continuous Head Pose Estimation Using Manifold Subspace Embedding and Multivariate Regression.
Katerine Díaz-ChitoJesús Martínez del RincónAura Hernández-SabatéDebora GilPublished in: IEEE Access (2018)
Keyphrases
- manifold embedding
- head pose estimation
- subspace learning
- multivariate regression
- manifold learning
- low dimensional
- regression model
- pose estimation
- visual tracking
- dimensionality reduction
- linear regression
- dimension reduction
- nonlinear dimensionality reduction
- high dimensional data
- high dimensional
- embedding space
- principal component analysis
- model selection
- feature extraction
- feature space
- random forests
- depth images
- facial features
- semi supervised
- face recognition
- lower dimensional
- data representation
- sparse coding
- feature selection