Fusing information from multiple 2D depth cameras for 3D human pose estimation in the operating room.

Purpose: For many years, deep convolutional neural networks have achieved state-of-the-art results on a wide variety of computer vision tasks. 3D human pose estimation makes no exception and results on public benchmarks are impressive. However, specialized domains, such as operating rooms, pose additional challenges.