Fusing information from multiple 2D depth cameras for 3D human pose estimation in the operating room.
Lasse HansenMarlin SiebertJasper DieselMattias P HeinrichPublished in: International journal of computer assisted radiology and surgery (2019)
We present a robust 3D human pose estimation framework based on a multi-depth camera network in the operating room. Depth images as only input modalities make our approach especially interesting for clinical applications due to the given anonymity for patients and staff.
Keyphrases
- optical coherence tomography
- endothelial cells
- end stage renal disease
- newly diagnosed
- induced pluripotent stem cells
- ejection fraction
- chronic kidney disease
- pluripotent stem cells
- convolutional neural network
- healthcare
- deep learning
- peritoneal dialysis
- mass spectrometry
- patient reported outcomes
- health information