• DocumentCode
    2179497
  • Title

    Research on the Technology of Extracting 3D Face Feature Points on Basis of Binocular Vision

  • Author

    Zhang Lei ; Gao Xianwei ; Zhao Cheng ; Dong Xiuze

  • Author_Institution
    Dept. of Electron. & Inf. Eng., Beijing Electron. Sci. & Technol. Inst., Beijing, China
  • fYear
    2009
  • fDate
    17-19 Oct. 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    On basis of binocular stereo vision, the paper puts forward a method to acquire the 3D data information of human face feature points, that is, by using a nominal camera to shoot 3D image pair and the method with the combination of prior experience in local face feature and Canny edge detection, 15 feature points are respectively extracted from the planar image. Under the conditions of epipolar constraint, uniqueness constraint and order consistency, the left and right image pair is 3D matched, the parallax is calculated, and the 3D spatial data of the feature points is synthesized. The experimental results show that: the synthesized 3D data information of the feature points is in line with the actual situation; the relative error is less than 4%.
  • Keywords
    computer vision; edge detection; face recognition; feature extraction; image matching; stereo image processing; 3D data information; 3D face feature points extraction; 3D image pair; Canny edge detection; binocular stereo vision; epipolar constraint; image matching; order consistency; parallax; planar image extraction; uniqueness constraint; Cameras; Data acquisition; Data mining; Databases; Face detection; Face recognition; Feature extraction; Humans; Paper technology; Stereo vision;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image and Signal Processing, 2009. CISP '09. 2nd International Congress on
  • Conference_Location
    Tianjin
  • Print_ISBN
    978-1-4244-4129-7
  • Electronic_ISBN
    978-1-4244-4131-0
  • Type

    conf

  • DOI
    10.1109/CISP.2009.5304983
  • Filename
    5304983