• DocumentCode
    249128
  • Title

    3D curvature analysis with a novel one-shot technique

  • Author

    Di Martino, J. Matias ; Fernandez, Alicia ; Ferrari, Jose A.

  • Author_Institution
    Fac. de Ing., Univ. de la Republica, Montevideo, Uruguay
  • fYear
    2014
  • fDate
    27-30 Oct. 2014
  • Firstpage
    3818
  • Lastpage
    3822
  • Abstract
    In this work we will show that it is possible to perform three-dimensional (3D) analysis and extract features without performing a 3D surface reconstruction. We propose a novel approach that consists in acquiring the scene under the projection of structured light (plus the natural ambient illumination), which allows us to obtain the depth gradient map using a simple processing step with very low hardware requirements.
  • Keywords
    feature extraction; 3D curvature analysis; 3D surface reconstruction; depth gradient map; feature extraction; one-shot technique; scene acquisition; structured light projection; three-dimensional analysis; Cameras; Face; Face recognition; Nose; Shape; Surface treatment; Three-dimensional displays; 3D feature extraction; Face curvatures; HK classification; Nose location;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing (ICIP), 2014 IEEE International Conference on
  • Conference_Location
    Paris
  • Type

    conf

  • DOI
    10.1109/ICIP.2014.7025775
  • Filename
    7025775