期刊論文
| 學年 | 105 |
|---|---|
| 學期 | 2 |
| 出版（發表）日期 | 2017-05-02 |
| 作品名稱 | Real-time 3D human objects rendering based on multiple camera details |
| 作品名稱（其他語言） | |
| 著者 | W. G. C. W. Kumara; Shwu-Huey Yen; Hui-Huang Hsu; Timothy K. Shih; Wei-Chun Chang; Enkhtogtokh Togootogtokh |
| 單位 | |
| 出版者 | |
| 著錄名稱、卷期、頁數 | Multimedia Tools and Applications 76(9), p.11687-11713 |
| 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. |
| 關鍵字 | 3D model;Virtual reality;Kinect;Point cloud;Registration |
| 語言 | en |
| ISSN | 1573-7721 |
| 期刊性質 | 國外 |
| 收錄於 | SCI |
| 產學合作 | |
| 通訊作者 | |
| 審稿制度 | 否 |
| 國別 | NLD |
| 公開徵稿 | |
| 出版型式 | ,電子版 |
| 相關連結 |
機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/105956 ) |