• DocumentCode
    2585589
  • Title

    Teaching Computer Vision for telemedicine systems using OpenCV

  • Author

    Chaczko, Zenon ; Braun, Robin

  • Author_Institution
    Fac. of Eng. & Inf., Univ. of Technol., Sydney, Sydney, NSW, Australia
  • fYear
    2010
  • fDate
    April 29 2010-May 1 2010
  • Firstpage
    17
  • Lastpage
    20
  • Abstract
    This paper reports on experiences of teaching Computer Vision for robotic telemedicine cluster system, within the practice based ICTD subject within the undergraduate Software Engineering Program at the Faculty of Engineering, University of Technology Sydney (UTS). Topics described by this paper include shared experiences in designing and implementing Computer Vision subsystem and discusses successes, as well as common problems both experienced and anticipated in adaptation of OpenCV framework for building a robotic system for telemedicine. One of the main objectives of the ICTD is to bridge the gap between the students´ theoretical knowledge of design and programming with the practical side of software reuse and modularization when designing and implementing a robotic system for medical applications.
  • Keywords
    computer aided instruction; computer vision; medical robotics; software engineering; telemedicine; OpenCV; robotic system implementation; robotic telemedicine cluster system; software engineering program; teaching computer vision; telemedicine systems; Bridges; Buildings; Computer vision; Education; Educational robots; Medical robotics; Robot programming; Robot vision systems; Software engineering; Telemedicine; Computer Vision; OpenCV; TelemedicineCluster;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Technology Based Higher Education and Training (ITHET), 2010 9th International Conference on
  • Conference_Location
    Cappadocia
  • Print_ISBN
    978-1-4244-4810-4
  • Type

    conf

  • DOI
    10.1109/ITHET.2010.5480069
  • Filename
    5480069