• DocumentCode
    3011631
  • Title

    Augmented reality-landmark estimation

  • Author

    Suganya, S. ; Raajan, Narasimhan Ranga

  • Author_Institution
    Dept. of Electron. & Commun. Eng., SASTRA Univ., Thanjore, India
  • fYear
    2011
  • fDate
    15-17 Dec. 2011
  • Firstpage
    517
  • Lastpage
    519
  • Abstract
    Augmented Reality means interacting with the real world circumstances and virtual objects at the same time which is augmented by system generating inputs. That is, it allows the system generated content to be superimposed over a live camera of the real world. It is an absolutely graphical experience that is combined with real world circumstances. Here, the landmark will be acquired as an input of the image by sight-based camera parameter estimation methods by using SFM (STRUCTURE FROM MOTION) technique. In this paper, we are going to overlay real still images of landmark with virtual computer graphical images. These SFM techniques which have been discussed earlier in some of the previous papers will not work in real time applications because of its high cost. But here, this method will achieve fast and accurate landmark estimation based on SFM and we obtain the 3-D structure of a landmark by using this technique which has no need of information about the scene.
  • Keywords
    augmented reality; computer graphics; parameter estimation; SFM technique; augmented reality; landmark estimation; sight-based camera parameter estimation; structure from motion technique; virtual computer graphical images; virtual objects; Augmented reality; Cameras; Control engineering; Databases; Estimation; Real time systems; Augmented Reality; Camera Parameter Estimation; Landmark database; Natural features;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Recent Advancements in Electrical, Electronics and Control Engineering (ICONRAEeCE), 2011 International Conference on
  • Conference_Location
    Sivakasi
  • Print_ISBN
    978-1-4577-2146-5
  • Type

    conf

  • DOI
    10.1109/ICONRAEeCE.2011.6129793
  • Filename
    6129793