English  |  正體中文  |  简体中文  |  Items with full text/Total items : 62797/95867 (66%)
Visitors : 3749021      Online Users : 441
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library & TKU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
  • Adv. Search
    HomeLoginUploadHelpAboutAdminister Goto mobile version
    Please use this identifier to cite or link to this item: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/54862


    Title: 3D Skeleton Construction by Multi-View 2D Images and 3D Model Segmentation
    Authors: Chang, Shih-ming;Tsai, Yi-sheng;Hsu, Hui-huang;Li, Kuan-ching
    Contributors: 淡江大學資訊工程學系
    Keywords: 3D skeleton construction;3D object clustering;Speeded Up Robust Features;SURF
    Date: 2011-07-04
    Issue Date: 2011-07-27 11:26:47 (UTC+8)
    Publisher: IEEE Computer Society
    Abstract: 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.
    Relation: Proceedings of 2011 Fourth International Conference on Ubi-media Computing, pp.168-173
    DOI: 10.1109/U-MEDIA.2011.48
    Appears in Collections:[資訊工程學系暨研究所] 會議論文

    Files in This Item:

    File Description SizeFormat
    u-media11論文_資工系許輝煌.pdfU-Media 2011 發表之論文347KbAdobe PDF1View/Open

    All items in 機構典藏 are protected by copyright, with all rights reserved.


    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library & TKU Library IR teams. Copyright ©   - Feedback