Augmented Reality with Human Body Interaction Based on Monocular 3D Pose Estimation

We present an augmented reality interface with markerless human body interaction. It consists of 31) motion capture of the human body and the processing of 3D human poses for augmented reality applications. A monocular camera is used to acquire the images of the user's motion for 3D pose estimation. In the proposed technique, a graphical 3D human model is first constructed. Its projection on a virtual image plane is then used to match the silhouettes obtained from the image sequence. By iteratively adjusting the 3D pose of the graphical 3D model with the physical and anatomic constraints of the human motion, the human pose and the associated 3D motion parameters can be uniquely identified. The obtained 3D pose information is then transferred to the reality processing subsystem and used to achieve the marker-free interaction in the augmented environment. Experimental results are presented using a head mounted display.