碩士 / 國立中山大學 / 資訊工程學系研究所 / 103 / This thesis describes a system that can imitate the swimming behavior from a real fish motion recording from videos. The proposed method does not require the setting of markers or sensors on the target objects like making a 3D movie. Object data are obtained from videos setting on variety of viewpoints. Top and front cameras were used to record the motion of fish. The videos were calibrated with pole-polar relationship and deformable objects were tracked using template matching associated with the selective binary and Gaussian filtering regularized level set. Following the tracking procedure, the skeletons were extracted using Delaunay triangulation from the contours of the creatures. We also proposed a line fitting method to facilitate the formulation of 2D skeletons obtained from two views into a 3D skeleton. The proposed method enables the simulation of fish motion with the same motion of real fish in video.
| Identifer | oai:union.ndltd.org:TW/103NSYS5392023 |
| Date | January 2014 |
| Creators | Yi Yang, 楊毅 |
| 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 | 65 |
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