An Integrated Platform for Live 3D Human Reconstruction and Motion Capturing

被引:55
|
作者
Alexiadis, Dimitrios S. [1 ]
Chatzitofis, Anargyros [1 ]
Zioulis, Nikolaos [1 ]
Zoidi, Olga [1 ]
Louizis, Georgios [1 ]
Zarpalas, Dimitrios [1 ]
Daras, Petros [1 ]
机构
[1] Ctr Res & Technol Hellas, Informat Technol Inst, Thessaloniki 57001, Greece
关键词
3D motion capture; 3D reconstruction; depth sensors; evaluation; Kinect; skeleton tracking; tele-immersion (TI); REAL-TIME;
D O I
10.1109/TCSVT.2016.2576922
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
The latest developments in 3D capturing, processing, and rendering provide means to unlock novel 3D application pathways. The main elements of an integrated platform, which target tele-immersion and future 3D applications, are described in this paper, addressing the tasks of real-time capturing, robust 3D human shape/appearance reconstruction, and skeleton-based motion tracking. More specifically, initially, the details of a multiple RGB-depth (RGB-D) capturing system are given, along with a novel sensors' calibration method. A robust, fast reconstruction method from multiple RGB-D streams is then proposed, based on an enhanced variation of the volumetric Fourier transform-based method, parallelized on the Graphics Processing Unit, and accompanied with an appropriate texture-mapping algorithm. On top of that, given the lack of relevant objective evaluation methods, a novel framework is proposed for the quantitative evaluation of real-time 3D reconstruction systems. Finally, a generic, multiple depth stream-based method for accurate real-time human skeleton tracking is proposed. Detailed experimental results with multi-Kinect2 data sets verify the validity of our arguments and the effectiveness of the proposed system and methodologies.
引用
收藏
页码:798 / 813
页数:16
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