碩士 / 國立中山大學 / 資訊工程學系研究所 / 101 / In this thesis, we present a visual learning mechanism, to learn the realistic motion from real fishes and automatically generate 3D animation. We use two cameras to record the motion of fishes, and tracking the deformable objects by using the Template matching associated with SBGFRLS. After tracking, the skeletons are extracted by the Delaunay triangulation from the contour of creatures. We also proposed a line fitting method to combine the 2D skeletons of two views into the 3D skeleton. Furthermore, the proposed mechanism analyzes the path data and skeleton motions to create the learning data. Finally, one can simulate the continuous animation that not limited to the time length of input videos.
| Identifer | oai:union.ndltd.org:TW/101NSYS5392052 |
| Date | January 2013 |
| Creators | Wen-Chieh Hsieh, 謝文婕 |
| Contributors | Chung-Nan Lee, 李宗南 |
| Source Sets | National Digital Library of Theses and Dissertations in Taiwan |
| Language | zh-TW |
| Detected Language | English |
| Type | 學位論文 ; thesis |
| Format | 55 |
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