Depth video based human model reconstruction resolving self-occlusion

Generation of a 3D model has been actively researched in computer vision area. Especially, modeling of a realistic human is a topic of great interest due to its use in many application areas such as animation and 3DTV. In this paper, a novel method is presented to generate a 3D human model using a sequence of depth images from a monocular TOF (time-of-flight) camera. Mainly, we solve a 'self-occlusion' problem which occurs in the depth data where a human model is partially occluded by other parts of a human body. This becomes very critical when we want to develop a human model for various applications. We demonstrate the capability of our method by showing experimental results that resolves a multiple occlusion problem.