• DocumentCode
    3393653
  • Title

    A new algorithm for motion estimation from straight-line optical flow based on ant colony algorithm

  • Author

    Congxuan Zhang ; Zhen Chen ; Ming Li ; Shuigen Wei

  • Author_Institution
    Coll. of Autom., Nanjing Univ. of Aeronaut. & Astronaut., Nanjing, China
  • fYear
    2011
  • fDate
    19-22 Aug. 2011
  • Firstpage
    1160
  • Lastpage
    1165
  • Abstract
    This paper presents a new linear algorithm for estimating 3D motion from 2D image sequence. The main contribution of the algorithm contains two parts: the establishment of straight-line optical flow mathematical model and the design of ant colony algorithm based on the model. With the method, we just need to match a minimum number of two straight-lines from 2D images over three frames to gain the straight-line optical flow parameters. By introducing the straight-line optical flow parameters into the straight-line optical flow model, we can obtain the 3D motion estimation by solving linear equations. Several experiments and results comparison show that our algorithm has excellent robustness and less estimation error and less time consumption.
  • Keywords
    image matching; image sequences; mathematical analysis; motion estimation; optimisation; 2D image sequence; 3D motion estimation; ant colony algorithm; image matching; linear algorithm; linear equations; straight line optical flow mathematical model; Adaptive optics; Computer vision; Equations; Image motion analysis; Mathematical model; Optical imaging; Three dimensional displays; 3D motion estimation; ant colony algorithm; straight-line optical flow;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mechatronic Science, Electric Engineering and Computer (MEC), 2011 International Conference on
  • Conference_Location
    Jilin
  • Print_ISBN
    978-1-61284-719-1
  • Type

    conf

  • DOI
    10.1109/MEC.2011.6025673
  • Filename
    6025673