• DocumentCode
    1824703
  • Title

    Developing QR Code Based Augmented Reality Using SIFT Features

  • Author

    Teng, Chin-Hung ; Wu, Bing-Shiun

  • Author_Institution
    Dept. of Inf. Commun., Yuan Ze Univ., Chungli, Taiwan
  • fYear
    2012
  • fDate
    4-7 Sept. 2012
  • Firstpage
    985
  • Lastpage
    990
  • Abstract
    In this paper, we employ the widely used 2D barcode, the QR Code, to implement a QR Code based augmented reality (AR) system. In this system, QR Code is used to replace the traditional AR marker and the code can be tracked by the system without any maker registration procedure. This implies that the system is suitable for public domain applications since QR Code is a widely acceptable 2D barcode standard. Users can generate their codes and do not need to register the codes into the system. However, since every QR Code is different, to track the codes in a universal way a robust tracking technique needs to be applied. In this paper, we use the SIFT feature to enable QR Code tracking and also improve tracking accuracy and stability. We have developed this QR Code based AR system and its performance is encouraging. The code can be tracked efficiently with sufficient accuracy and stability.
  • Keywords
    augmented reality; bar codes; feature extraction; program compilers; tracking; 2D barcode standard; AR marker; QR code tracking; QR code-based AR system; QR code-based augmented reality; SIFT features; code generation; public domain applications; registration procedure; robust tracking technique; Accuracy; Cameras; Equations; Estimation; Feature extraction; Mathematical model; Robustness; QR Code; SIFT; augmented reality;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Ubiquitous Intelligence & Computing and 9th International Conference on Autonomic & Trusted Computing (UIC/ATC), 2012 9th International Conference on
  • Conference_Location
    Fukuoka
  • Print_ISBN
    978-1-4673-3084-8
  • Type

    conf

  • DOI
    10.1109/UIC-ATC.2012.56
  • Filename
    6332117