• DocumentCode
    3305669
  • Title

    A Study on Image Splicing Algorithm for Large Screen Multi-touch Technique

  • Author

    Wang, Feng ; Deng, Hui ; Ki, Kaifan ; Ting, Qi

  • Author_Institution
    Yunnan Comput. Technol. Applic. Key Lab., Kunming Univ. of Sci. & Technol., Kunming, China
  • fYear
    2010
  • fDate
    24-25 April 2010
  • Firstpage
    526
  • Lastpage
    529
  • Abstract
    Since the advent of multi-touch technique, vision-based multi-touch devices are rapidly developed and deployed in many occasions such as white-board for e-Education and interactive advertisement board. Enlarging screen size and increasing display resolution are two essentials to make manipulation more precisely and more fluently. In this paper, we present an effective algorithm to support multiple images splicing in multiple camera environment. The algorithm is using barycentric coordinates to locate the touch point and correct the location error. In theory, the algorithm is capable of supporting unlimited image splicing. Finally, we discussed the limitation of the algorithm and the future works.
  • Keywords
    Cameras; Computer applications; Computer vision; Fingers; Force measurement; Machine vision; Man machine systems; Splicing; Surface acoustic wave devices; Surface resistance; computer vision; image processing; image splcing; large size screen; multi-touch;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Vision and Human-Machine Interface (MVHI), 2010 International Conference on
  • Conference_Location
    Kaifeng, China
  • Print_ISBN
    978-1-4244-6595-8
  • Electronic_ISBN
    978-1-4244-6596-5
  • Type

    conf

  • DOI
    10.1109/MVHI.2010.25
  • Filename
    5532617