• DocumentCode
    2847215
  • Title

    Research of Confirming Height Rules of Human Characteristic Positions Based on 3D Point-Cloud Data

  • Author

    Kong, Hai-yan ; Gu, Bing-fei ; Su, Jun-qiang ; Liu, Guo-lian

  • Author_Institution
    Nat. Eng. Lab. for Modern Silk, Soochow Univ., Suzhou, China
  • Volume
    2
  • fYear
    2010
  • fDate
    13-14 Oct. 2010
  • Firstpage
    158
  • Lastpage
    161
  • Abstract
    In this research, Point-cloud diagrams can be obtained by using 3D body scanner and then characteristic positions of the body (such as waist, abdomen and buttocks) can be confirmed. Then height of characteristic positions can be measured from diagrams by the software of Image-ware. The correlation relationship between height of characteristic positions and height can be analyzed by the software SPSS16.0. The regression relationship between the two heights can be analyzed by SPSS so as to obtain the regulation of height of characteristic positions. Compared the height obtained by simulation with which got by scanning and photo-measurement so as to verify its correction, and then to provide foundation for studying characteristics of human body sharp and to ensure some rules to the establishment of automatic generation of 3D human body prototype.
  • Keywords
    clothing industry; position measurement; production engineering computing; prototypes; regression analysis; solid modelling; 3D body scanner; 3D point-cloud diagram; automatic 3D human body prototype generation; garment industry; height rules; human characteristic positions; image-ware software; photo-measurement; regression analysis; software SPSS16.0; Clothing; Correlation; Equations; Hip; Particle measurements; Textiles; Three dimensional displays; Characteristics of human body sharp; Height of characteristic positions; Point-cloud diagrams;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent System Design and Engineering Application (ISDEA), 2010 International Conference on
  • Conference_Location
    Changsha
  • Print_ISBN
    978-1-4244-8333-4
  • Type

    conf

  • DOI
    10.1109/ISDEA.2010.168
  • Filename
    5743399