關鍵字查詢 | 類別:期刊論文 | | 關鍵字:Real-Time 3D Human Objects Rendering Based on Multiple Camera Details

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序號 學年期 教師動態
1 105/2 資工系 許輝煌 教授 期刊論文 發佈 Real-Time 3D Human Objects Rendering Based on Multiple Camera Details , [105-2] :Real-Time 3D Human Objects Rendering Based on Multiple Camera Details期刊論文Real-Time 3D Human Objects Rendering Based on Multiple Camera DetailsW. G. C. W. Kumara; Shwu-Huey Yen; Hui-Huang Hsu; Timothy K. Shih; Wei-Chun Chang; Enkhtogtokh TogootogtokhMultimedia Tools and Applications 76(9), p.11687–11713SCI;EI;否
2 105/2 資工系 顏淑惠 教授 期刊論文 發佈 Real-time 3D human objects rendering based on multiple camera details , [105-2] :Real-time 3D human objects rendering based on multiple camera details期刊論文Real-time 3D human objects rendering based on multiple camera detailsW. G. C. W. Kumara; Shwu-Huey Yen; Hui-Huang Hsu; Timothy K. Shih; Wei-Chun Chang; Enkhtogtokh Togootogtokh3D model;Virtual reality;Kinect;Point cloud;RegistrationMultimedia Tools and Applications 76(9), p.11687-117133D 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 str
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