Exploiting Depth and Intensity Information for Head Pose Estimation with Random Forests and Tensor Models.
Sertan KaymakIoannis PatrasPublished in: ACCV Workshops (2) (2012)
Keyphrases
- random forests
- head pose estimation
- depth images
- machine learning algorithms
- regression forests
- random forest
- decision trees
- logistic regression
- ensemble methods
- pose estimation
- visual tracking
- manifold learning
- subspace learning
- learning algorithm
- appearance model
- depth information
- higher order
- pose variations
- video sequences