• DocumentCode
    2134423
  • Title

    Research on Local Image Navigation Method for Visual-Impaired Person

  • Author

    Wang, Xiaoli ; Wang, Lirong ; Yin, Jia ; Zhang, Chao

  • Author_Institution
    Coll. of Electron. & Inf. Eng., Changchun Univ., Jilin, China
  • fYear
    2010
  • fDate
    18-22 Aug. 2010
  • Firstpage
    613
  • Lastpage
    618
  • Abstract
    Due to no navigation in small area of the existing navigation system, we proposed an image-based matching navigation system for people with disabilities can walk in the designated area. Firstly, acquire and process the image captured from specified area by CCD digital video camera to establish Benchmark Image Library. And then pre-process the real-time image captured in walking to get Real-time Image Library. To match benchmark image with real-time image by fast scene matching algorithm based on SIFT feature. After that, match feature points for image that maybe rotation or change in scaling in different lighting and camera angles. Experimental results show that performance of the algorithm meet the requirements of high-performance of scene matching navigation systems.
  • Keywords
    feature extraction; handicapped aids; image matching; navigation; video cameras; CCD digital video camera; SIFT feature; benchmark image library; fast scene matching algorithm; image based matching navigation system; local image navigation method; real time image library; visual impaired person; Accuracy; Benchmark testing; Digital cameras; Feature extraction; Navigation; Pixel; Real time systems; Image Navigation; RANSAC algorithm; SIFT; Scene matching;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Frontier of Computer Science and Technology (FCST), 2010 Fifth International Conference on
  • Conference_Location
    Changchun, Jilin Province
  • Print_ISBN
    978-1-4244-7779-1
  • Type

    conf

  • DOI
    10.1109/FCST.2010.96
  • Filename
    5575587