• DocumentCode
    557691
  • Title

    Extracting human body feature measurement based on 3D point cloud data

  • Author

    Cheng, Dali ; Li, Xuefei

  • Author_Institution
    Comput. Inf. Center, Beijing Inst. of Fashion Technol., Beijing, China
  • Volume
    2
  • fYear
    2011
  • fDate
    15-17 Oct. 2011
  • Firstpage
    898
  • Lastpage
    901
  • Abstract
    Extracting three-dimensional (3D) human body feature measurement is the key technology of 3D garment CAD system. This paper mainly discussed the method of extracting the feature measurement of 3D body. After point cloud data of body was obtained through the 3D scanner, it combined with the definitions of the geometrical features and feature parts of 3D body in Clothology to get the datum points or feature points of feature measurement. According to these datum points or feature points obtained the data of section which corresponding to the feature measurement. B-spline was taken to fit these data in order to get the feature measurement.
  • Keywords
    clothing; feature extraction; solid modelling; splines (mathematics); 3D body; 3D garment CAD system; 3D human body feature measurement; 3D point cloud data; 3D scanner; B-spline; clothology; geometrical features; human body feature measurement extraction; Algorithm design and analysis; Data mining; Feature extraction; Flowcharts; Hip; Humans; Three dimensional displays; Feature measurement; Feature point; Measurement extraction; The point cloud data;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image and Signal Processing (CISP), 2011 4th International Congress on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-9304-3
  • Type

    conf

  • DOI
    10.1109/CISP.2011.6100309
  • Filename
    6100309