• DocumentCode
    931890
  • Title

    Improving calibration of 3-D video oculography systems

  • Author

    Schreiber, Kai ; Haslwanter, Thomas

  • Author_Institution
    Sch. of Optometry, California Univ., Berkeley, CA, USA
  • Volume
    51
  • Issue
    4
  • fYear
    2004
  • fDate
    4/1/2004 12:00:00 AM
  • Firstpage
    676
  • Lastpage
    679
  • Abstract
    Eye movement recordings with video-based techniques have become very popular, as long as they are restricted to the horizontal and vertical movements of the eye. Reliable measurement of the torsional component of eye movements, which is especially important in the diagnosis and investigation of pathologies, has remained a coveted goal. One of the main reasons is unresolved technical difficulties in the analysis of video-based images of the eye. Based on simulations, we present solutions to two of the primary problems: a robust and reliable calibration of horizontal and vertical eye movement recordings, and the extraction of suitable iris patterns for the determination of the torsional eye position component.
  • Keywords
    biomechanics; biomedical optical imaging; calibration; eye; image motion analysis; medical image processing; 3-D video oculography system calibration; biomedical image processing; diagnosis; eye movement recordings; iris patterns; pathological investigations; torsional eye movements; torsional eye position component; video-based images; Anatomy; Biomedical measurements; Calibration; Coils; Image analysis; Iris; Motor drives; Muscles; Robustness; Video recording; Algorithms; Calibration; Eye Movements; Humans; Image Enhancement; Image Interpretation, Computer-Assisted; Imaging, Three-Dimensional; Models, Biological; Motion; Reproducibility of Results; Rotation; Sensitivity and Specificity; Video Recording;
  • fLanguage
    English
  • Journal_Title
    Biomedical Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9294
  • Type

    jour

  • DOI
    10.1109/TBME.2003.821025
  • Filename
    1275583