English  |  正體中文  |  简体中文  |  Items with full text/Total items : 26769/27365 (98%)
Visitors : 13241590      Online Users : 438
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU 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: http://ir.lib.ksu.edu.tw/handle/987654321/20355

    Title: Using3D Body Scan Data to Construct Structured Body Model
    Authors: Tsai, Ming-June
    Ching-Yuan Huang
    Wei-An Lin
    Contributors: Department of Mechanical Engineering, National Cheng Kung University
    Keywords: Human model
    structured human model
    human landmark
    Date: 2013-11-02
    Issue Date: 2013-11-14 11:55:20 (UTC+8)
    Abstract: The human 3D scan technology has been developed for a long time in the world. However these huge unstructured data can’t be used directly. Therefore this study will construct a structured human model as a robotic model for many kinds of application like motion replication. Data preprocessing will filter the noise and rotate scan data to its principle axis then segment data into several parts that will structured in the later process. Human scan data structured process will divide into four parts, which are: head and neck structure, torso structure, arm and palm structure, leg structure. Each part has their own feature and structure processes are based on these features. In this study we have structured human data, these data structure like longitude and latitude of the earth which called body geodesic coordinate system(BGCs), every structure points have their signification, and this kind of data can be widely used in many research and manufacture. We always hope this data structure can become the standard architecture in the future.
    Appears in Collections:[機械工程系所] Automation 2013- The 12th International Conference on Automation Technology

    Files in This Item:

    File Description SizeFormat
    M012.pdf12KbAdobe PDF266View/Open
    Robotics_FULL_0012.pdf1326KbAdobe PDF0View/Open

    All items in KSUIR are protected by copyright, with all rights reserved.

    ©Kun Shan University Library and Information Center
    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback