• DocumentCode
    231830
  • Title

    Markless augmented reality registration algorithm based on ORB

  • Author

    Yuanyuan Du ; Zhenjiang Miao ; Yigang Cen

  • Author_Institution
    Inst. of Inf. Sci., Beijing Jiaotong Univ., Beijing, China
  • fYear
    2014
  • fDate
    19-23 Oct. 2014
  • Firstpage
    1236
  • Lastpage
    1240
  • Abstract
    The image registration technique is very important in the image processing and computer vision field, and widely used in object recognition, image analysis and target detection. The paper presents a markless augmented reality system for natural scene restoration through which we can see the original appearance of the destructed scene. Based on the system, we put forward a mark-less image registration algorithm based on ORB algorithm. The method uses the ORB algorithm to extract the image feature points and feature descriptors, then eliminates the error matching by using random sampling consistency algorithm, finally obtains the registration information by the improved homography matrix. Experiments show that this method has a better real-time performance in image registration, reliability and positioning.
  • Keywords
    augmented reality; computer vision; feature extraction; image matching; image registration; image restoration; image sampling; matrix algebra; natural scenes; random processes; ORB algorithm; computer vision; error matching; homography matrix; image feature descriptor extraction; image feature point extraction; image processing; markless augmented reality image registration algorithm; natural scene restoration; random sampling consistency algorithm; Algorithm design and analysis; Augmented reality; Computers; Feature extraction; Image matching; Image registration; Real-time systems; Homograph; Image Registration; Markless AR; ORB Algorithm; RANSAC;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing (ICSP), 2014 12th International Conference on
  • Conference_Location
    Hangzhou
  • ISSN
    2164-5221
  • Print_ISBN
    978-1-4799-2188-1
  • Type

    conf

  • DOI
    10.1109/ICOSP.2014.7015197
  • Filename
    7015197