Database for 3D human pose estimation from single depth images
This work is part of the project I DRESS (Assistive interactive robotic system for support in dressing) The specific objective is the detection of human body postures and the tracking of their movements. To this end, this work aims to create the image database needed for the training of the algorithms of pose estimation for the artificial vision of the robotic system, based on the depth images obtained by a sensor Time of Flight (ToF) depth camera type, such as the incorporated by the Kinect One (Kinect v2) device.