• DocumentCode
    495222
  • Title

    A Fully Automatic 3D Reconstruction Method Based on Images

  • Author

    Ze-tao, Jiang ; Bi-na, Zheng ; Min, Wu ; Wen-huan, Wu

  • Author_Institution
    Comput. Sch., Nanchang HangKong Univ., Nanchang, China
  • Volume
    5
  • fYear
    2009
  • fDate
    March 31 2009-April 2 2009
  • Firstpage
    327
  • Lastpage
    331
  • Abstract
    A fully automatic 3D reconstruction method based on images without manual modeling is presented in this paper. The method extracts 3D information from 2D images directly. Firstly, the feature points must be extracted from the images and then we match these corresponding points. Secondly, to determine the coordinates of 3D points, we should calculate the fundamental matrix, along with the extrinsic and intrinsic parameters of camera, which is to get the essential matrix. Consequently, we can implement the 3D reconstruction of the real scene after establishing the 3D model by Delauny triangulation and texture mapping and rendering in the late stage. Experiments with real images show that the method can reduce the reconstruction time of large-scale virtual scene greatly. It is characterized as efficiency, high stability and robustness.
  • Keywords
    feature extraction; image matching; image reconstruction; image texture; matrix algebra; mesh generation; rendering (computer graphics); solid modelling; 2D image; Delauny triangulation; automatic 3D reconstruction method; feature extraction; fundamental matrix; image point match; image rendering; texture mapping; Cameras; Computer vision; Data mining; Feature extraction; Image reconstruction; Large-scale systems; Layout; Reconstruction algorithms; Rendering (computer graphics); Robust stability; 3D reconstruction; Delauny triangularization; epipolar geometry; features matching; fundamental matrix; random sampling consensus (RANSAC);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Information Engineering, 2009 WRI World Congress on
  • Conference_Location
    Los Angeles, CA
  • Print_ISBN
    978-0-7695-3507-4
  • Type

    conf

  • DOI
    10.1109/CSIE.2009.144
  • Filename
    5170551