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| Personalized full-body reconstruction based on single kinect |
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2楼2016-06-02 16:31:18
3楼2016-06-03 11:36:23
yangjinian
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Accession number: 20162002391638 Title: Personalized full-body reconstruction based on single kinect Authors: Pang, Hao1; Li, Jiping1 Email author li-jiping@163.com; Peng, Jianjun1; Zhong, Xin1; Cai, Xiangyue1 Author affiliation: 1 School of Information Science and Engineering, Dalian Polytechnic University, Dalian, China Corresponding author: Li, Jiping (li-jiping@163.com) Source title: Proceedings - 2015 8th International Congress on Image and Signal Processing, CISP 2015 Abbreviated source title: Proc. - Int. Congr. Image Signal Process., CISP Monograph title: Proceedings - 2015 8th International Congress on Image and Signal Processing, CISP 2015 Issue date: February 16, 2016 Publication year: 2015 Pages: 979-983 Article number: 7408021 Language: English ISBN-13: 9781467390989 Document type: Conference article (CA) Conference name: 8th International Congress on Image and Signal Processing, CISP 2015 Conference date: October 14, 2015 - October 16, 2015 Conference location: Shenyang, China Conference code: 119464 Publisher: Institute of Electrical and Electronics Engineers Inc. Abstract: To build 3D personalized human body geometry in virtual scenes, this paper presents a full human body reconstruction method based on single Kinect. This method captures three top-down human point clouds firstly and uses ICP to find the corresponding points between the point clouds. A personalized full human body point cloud is generated after point cloud fusion and down-sampling. Finally, the 3D human geometry is constructed by triangulation. The experimental results demonstrate the method feasibility. © 2015 IEEE. Number of references: 22 Main heading: Signal processing Controlled terms: Image processing - Signal sampling - Virtual reality Uncontrolled terms: 3-d modeling - Down sampling - Human bodies - Kinect - registration Classification code: 716.1 Information Theory and Signal Processing - 723 Computer Software, Data Handling and Applications - 922 Statistical Methods DOI: 10.1109/CISP.2015.7408021 Database: Compendex Compilation and indexing terms, © 2016 Elsevier Inc. 是这个吗? |
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