3D Skeleton Construction by Multi-View 2D Images and 3D Model Segmentation

淡江大學機構典藏 > 工學院 > 資訊工程學系暨研究所 > 會議論文 > Item 987654321/54862

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题名:	3D Skeleton Construction by Multi-View 2D Images and 3D Model Segmentation
作者:	Chang, Shih-ming;Tsai, Yi-sheng;Hsu, Hui-huang;Li, Kuan-ching
贡献者:	淡江大學資訊工程學系
关键词:	3D skeleton construction;3D object clustering;Speeded Up Robust Features;SURF
日期:	2011-07-04
上传时间:	2011-07-27 11:26:47 (UTC+8)
出版者:	IEEE Computer Society
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.
關聯:	Proceedings of 2011 Fourth International Conference on Ubi-media Computing, pp.168-173
DOI:	10.1109/U-MEDIA.2011.48
显示于类别:	[資訊工程學系暨研究所] 會議論文

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