Improving Experience Sampling with Multi-view User-driven Annotation Prediction.
Jonathan LionoFlora D. SalimNiels van BerkelVassilis KostakosA. Kai QinPublished in: PerCom (2019)
Keyphrases
- multi view
- user driven
- single view
- multiple views
- depth map
- end users
- d objects
- camera calibration
- three dimensional
- multi view semi supervised learning
- multi view images
- semi supervised
- active learning
- surface reconstruction
- multi view clustering
- co training
- light field
- multi view stereo
- view synthesis
- website
- multi views
- multi view video coding
- multi view face detection
- multi view reconstruction
- multi view learning
- depth information
- social networking
- free viewpoint
- object recognition
- pose estimation
- mashup
- user interface
- learning experience