教師資料查詢 | 類別: 會議論文 | 教師: 許輝煌 Hsu Hui-huang (瀏覽個人網頁)

標題:3D Skeleton Construction by Multi-View 2D Images and 3D Model Segmentation
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學期
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
會議地點
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
語言英文
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會議性質
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通訊作者
國別
公開徵稿
出版型式
出處Proceedings of 2011 Fourth International Conference on Ubi-media Computing, pp.168-173
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