Issue No. 04 - April (2012 vol. 18)
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/TVCG.2012.56
Depth camera such as Microsoft Kinect, is much cheaper than conventional 3D scanning devices, and thus it can be acquired for everyday users easily. However, the depth data captured by Kinect over a certain distance is of extreme low quality. In this paper, we present a novel scanning system for capturing 3D full human body models by using multiple Kinects. To avoid the interference phenomena, we use two Kinects to capture the upper part and lower part of a human body respectively without overlapping region. A third Kinect is used to capture the middle part of the human body from the opposite direction. We propose a practical approach for registering the various body parts of different views under non-rigid deformation. First, a rough mesh template is constructed and used to deform successive frames pairwisely. Second, global alignment is performed to distribute errors in the deformation space, which can solve the loop closure problem efficiently. Misalignment caused by complex occlusion can also be handled reasonably by our global alignment algorithm. The experimental results have shown the efficiency and applicability of our system. Our system obtains impressive results in a few minutes with low price devices, thus is practically useful for generating personalized avatars for everyday users. Our system has been used for 3D human animation and virtual try on, and can further facilitate a range of home-oriented virtual reality (VR) applications.
solid modelling, avatars, computer animation, interactive devices, home-oriented virtual reality applications, 3D full human body model scanning, Microsoft Kinect, 3D scanning devices, depth camera, nonrigid deformation, rough mesh template, successive frame deformation, error distribution, loop closure problem, global alignment algorithm, personalized avatars, 3D human animation, Three dimensional displays, Biological system modeling, Image reconstruction, Shape, Humans, Computational modeling, Geometry, Microsoft Kinect, 3D Body Scanning, global non-igid registration
Hao Yan, Zhigeng Pan, Ligang Liu, Jin Zhou, Jing Tong, "Scanning 3D Full Human Bodies Using Kinects", IEEE Transactions on Visualization & Computer Graphics, vol. 18, no. , pp. 643-650, April 2012, doi:10.1109/TVCG.2012.56