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

Authors: Joseph C. Tsai; Shih-Ming Chang; Shwu-Huey Yen; Timothy K. Shih; Kuan-Ching Li

Addresses: Department of Computer Science and Information Engineering, Tamkang University, New Taipei City, 25137, Taiwan ' Department of Computer Science and Information Engineering, Tamkang University, New Taipei City, 25137, Taiwan ' Department of Computer Science and Information Engineering, Tamkang University, New Taipei City, 25137, Taiwan ' Department of Computer Science and Information Engineering, National Central University, Taoyuan County, 30201, Taiwan ' Department of Computer Science and Information Engineering, Providence University, Taichung City, 43301, Taiwan

Abstract: 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.

Keywords: automated clustering; texture mapping; SIFT; 3D modelling; 3D skeleton construction; multi-view 2D images; 3D model segmentation; 3D objects; shape diameter-function; SDF; Gaussian mixture model; GMM.

DOI: 10.1504/IJCSE.2015.070988

International Journal of Computational Science and Engineering, 2015 Vol.10 No.4, pp.368 - 374

Received: 14 Dec 2011
Accepted: 13 Feb 2012

Published online: 05 Aug 2015 *

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