會議論文
| 學年 | 99 |
|---|---|
| 學期 | 2 |
| 發表日期 | 2011-07-04 |
| 作品名稱 | 3D Skeleton Construction by Multi-View 2D Images and 3D Model Segmentation |
| 作品名稱（其他語言） | |
| 著者 | Chang, Shih-ming; Tsai, Yi-sheng; Hsu, Hui-huang; Li, Kuan-ching |
| 作品所屬單位 | 淡江大學資訊工程學系 |
| 出版者 | IEEE Computer Society |
| 會議名稱 | Ubi-Media Computing (U-Media), 2011 4th International Conference on |
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| 摘要 | In this paper, we proposed method to develop 3D skeleton and 3D object clustering. In 3D skeleton, Firstly,we use multi-view human images and find the feature points between difference angles by Speeded Up Robust Features (SURF) method. Second, we use an effective coordinate transformation method to transform feature points in 3D space. Third, we use improvement K-means algorithm, add three direction, to find the human join points and to produce a simple 3D skeleton. In 3D object segmentation, we use Shape Diameter-Function (SDF)method and Gaussian Mixture Model (GMM) to segment regions in 3D model. In SDF method, we use SDF method to compute the SDF value by center of shape information and neighbor of current shape path information. In GMM method, we use GMM method to obtain the scope value of object clustering. Finally, we show results of our method in experiment results, and results show that our method is effective. |
| 關鍵字 | 3D skeleton construction;3D object clustering;Speeded Up Robust Features;SURF |
| 語言 | en |
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| 出處 | Proceedings of 2011 Fourth International Conference on Ubi-media Computing, pp.168-173 |
| 相關連結 |
機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/54862 ) |