Real-time 3D human objects rendering based on multiple camera details

被引:10
|
作者
Kumara, W. G. C. W. [1 ]
Yen, Shwu-Huey [2 ]
Hsu, Hui-Huang [2 ]
Shih, Timothy K. [1 ]
Chang, Wei-Chun [1 ]
Togootogtokh, Enkhtogtokh [1 ]
机构
[1] Natl Cent Univ, Dept Comp Sci & Informat Engn, MINE Lab, 300 Jhongda Rd, Jhongli 32001, Taoyuan County, Taiwan
[2] Tamkang Univ, Dept Comp Sci & Informat Engn, New Taipei, Taiwan
关键词
3D model; Virtual reality; Kinect; Point cloud; Registration;
D O I
10.1007/s11042-016-3327-0
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
3D model construction techniques using RGB-D information have been gaining a great attention of the researchers around the world in recent decades. The RGB-D sensor, Microsoft Kinect is widely used in many research fields, such as in computer vision, computer graphics, and human computer interaction, due to its capacity of providing color and depth information. This paper presents our research finding on calibrating information from several Kinects in order to construct a 3D model of a human object and to render texture captured from RGB camera. We used multiple Kinect sensors, which are interconnected in a network. High bit rate streams captured at each Kinect are first sent to a centralized PC for the processing. This even can be extended to a remote PC in the Internet. Main contributions of this work include calibration of the multiple Kinects, properly aligning point clouds generated from multiple Kinects, and generation of the 3D shape of the human objects. Experimental results demonstrate that the proposed method provides a better 3D model of the human object being captured.
引用
收藏
页码:11687 / 11713
页数:27
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