• DocumentCode
    3346615
  • Title

    Projective Reconstruction from Line-Correspondence Based on Image Sequence

  • Author

    Lei Xiaochun ; Liu Xiaowen ; Li Ruxiong ; Chenshen

  • Author_Institution
    Sch. of Comput. & Control, Guilin Univ. of Electron. & Technol., Guilin, China
  • fYear
    2009
  • fDate
    14-17 Oct. 2009
  • Firstpage
    354
  • Lastpage
    357
  • Abstract
    The 3D projective reconstruction based on image sequences uses line-correspondence and then constructs line measurement matrix. This paper adopts genetic algorithm for estimating projective depth and performs SVD (singular value decomposition) on measure matrix to retrieve the result of projective reconstruction. According to the result of an experiment on a group of image sequences, this method is feasible.
  • Keywords
    genetic algorithms; image reconstruction; image sequences; singular value decomposition; genetic algorithm; image sequence; line measurement matrix; line-correspondence; projective depth estimation; projective reconstruction; singular value decomposition; Area measurement; Cameras; Ceramics; Electric variables measurement; Genetic algorithms; Image reconstruction; Image segmentation; Image sequences; Matrix decomposition; Mechanical variables measurement; image sequences; line-correspondence; projective reconstruction;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Genetic and Evolutionary Computing, 2009. WGEC '09. 3rd International Conference on
  • Conference_Location
    Guilin
  • Print_ISBN
    978-0-7695-3899-0
  • Type

    conf

  • DOI
    10.1109/WGEC.2009.167
  • Filename
    5402874