3D skeleton construction by multi-view 2D images and 3D model segmentation

NCUIR > College of Electrical Engineering & Computer Science > Department of Computer Science and information Engineering > journal & Dissertation > Item 987654321/105939

Please use this identifier to cite or link to this item: https://ir.lib.ncu.edu.tw/handle/987654321/105939

Title:	3D skeleton construction by multi-view 2D images and 3D model segmentation
Authors:	施國琛;Tsai, Joseph C.;Chang, Shih-Ming;Yen, Shwu-Huey;Shih, Timothy K.;Li, Kuan-Ching
Contributors:	資訊電機學院資訊工程學系
Date:	2015-01-01
Issue Date:	2026-04-23 13:01:36 (UTC+8)
Publisher:	Inderscience Publishers (IEL)
Abstract:	摘要： Issues regarding 3D object construction have been widely discussed for years. In order to simplify the process, we proposed a method to construct 3D object. Multi-view human images and feature points are used to generate 3D skeleton. We use an effective coordinate transformation method to transform feature points in 3D space. A modified K-means algorithm can search join points of target human by additional three directions and generate a simple 3D skeleton from the human's information. In 3D object segmentation, we use shape diameter-function (SDF) method and Gaussian mixture model (GMM). We use SDF method to compute the SDF value by centre of shape information and neighbour of current shape path information. The GMM method is used to obtain the scope value of object clustering in our paper. Eventually, we show results of our method in experiment results, and results show that our method is effective. 其他題名： ijcse 出版者： Inderscience Publishers (IEL) 出版日期： 2015 出處： International journal of computational science and engineering, 2015, Vol.10 (4), p.368-374 版權： Copyright © 2015 Inderscience Enterprises Ltd. 識別號： ISSN: 1742-7185 識別號： EISSN: 1742-7193 識別號： DOI: 10.1504/IJCSE.2015.070988
Appears in Collections:	[Department of Computer Science and information Engineering] journal & Dissertation

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