Head pose estimation via probabilistic high-dimensional regression.
Vincent DrouardSileye O. BaGeorgios D. EvangelidisAntoine DeleforgeRadu HoraudPublished in: ICIP (2015)
Keyphrases
- head pose estimation
- high dimensional
- regression forests
- manifold learning
- manifold embedding
- pose estimation
- tracking and pose estimation
- low dimensional
- visual tracking
- random forests
- subspace learning
- feature space
- high dimensional data
- dimensionality reduction
- facial features
- dimension reduction
- generative model
- head motion
- nearest neighbor
- high dimensionality
- semi supervised
- mean shift
- depth images
- linear discriminant analysis
- face recognition
- sparse representation
- facial expressions
- d objects
- support vector