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An Algorithim for Converting 2D Face Image into 3D Model

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2015, 20(4), pp.41-48
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science

최태준 1 Heeman Lee 2

1부산외국어대학교
2서원대학교

Accredited

ABSTRACT

Recently, the spread of 3D printers has been increasing the demand for 3D models. However, the creation of 3D models should have a trained specialist using specialized softwares. This paper is about an algorithm to produce a 3D model from a single sheet of two-dimensional front face photograph, so that ordinary people can easily create 3D models. The background and the foreground are separated from a photo and predetermined constant number vertices are placed on the seperated foreground 2D image at a same interval. The arranged vertex location are extended in three dimensions by using the gray level of the pixel on the vertex and the characteristics of eyebrows and nose of the nomal human face. The separating method of the foreground and the background uses the edge information of the silhouette. The AdaBoost algorithm using the Haar-like feature is also employed to find the location of the eyes and nose. The 3D models obtained by using this algorithm are good enough to use for 3D printing even though some manual treatment might be required a little bit. The algorithm will be useful for providing 3D contents in conjunction with the spread of 3D printers.

Citation status

* References for papers published after 2022 are currently being built.