Conditional Regressive Random Forest Stereo-Based Hand Depth Recovery.
Rilwan Remilekun BasaruChris ChildEduardo AlonsoGreg G. SlabaughPublished in: ICCV Workshops (2017)
Keyphrases
- depth recovery
- random forest
- depth information
- stereo images
- depth map
- random forests
- decision trees
- feature set
- ensemble methods
- real scenes
- stereo vision
- multi label
- stereo pair
- disparity map
- depth data
- stereo matching
- image pairs
- machine learning
- prediction accuracy
- graph cuts
- time of flight
- benchmark datasets
- multi view
- multi class
- motion estimation
- high resolution
- training set
- bayesian networks
- computer vision