淡江大學機構典藏:Item 987654321/105956
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    Please use this identifier to cite or link to this item: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/105956


    Title: Real-time 3D human objects rendering based on multiple camera details
    Authors: W. G. C. W. Kumara;Shwu-Huey Yen;Hui-Huang Hsu;Timothy K. Shih;Wei-Chun Chang;Enkhtogtokh Togootogtokh
    Keywords: 3D model;Virtual reality;Kinect;Point cloud;Registration
    Date: 2017-05
    Issue Date: 2016-04-22 13:12:15 (UTC+8)
    Publisher: Springer New York LLC
    Abstract: 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.
    Relation: Multimedia Tools and Applications 76(9), p.11687-11713
    DOI: 10.1007/s11042-016-3327-0
    Appears in Collections:[Graduate Institute & Department of Computer Science and Information Engineering] Journal Article

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