RFSOM - Extending Self-Organizing Feature Maps with Adaptive Metrics to Combine Spatial and Textural Features for Body Pose Estimation.
Mathias KlingnerSven HellbachMartin RiedelMarika KadenThomas VillmannHans-Joachim BöhmePublished in: WSOM (2014)
Keyphrases
- pose estimation
- human body
- textural features
- body parts
- articulated model
- human pose estimation
- computer vision
- spatial information
- upper body
- d objects
- feature points
- visual inspection
- human pose
- depth images
- texture features
- texture analysis
- gray level
- human motion
- articulated pose
- pixel classification
- local binary pattern
- information content
- high resolution
- image analysis