A Simple Approach to Video-Based 3D Eye Movement Measurement

  • Sven Steddin
  • Alexander Weiß
Chapter

Abstract

Measurement of 3D eye movements by image processing of video data has recently been the subject of several publications. On the basis of the applied architecture, existing systems can be divided into three basic groups: I.) Images of the eyes are stored on video tapes prior to analysis (Clarke et al. 1991). This requires expensive time-base corrected analog video recorders, which often greatly decrease the quality of the image data due to noise. II.) Images are analysed online without storage of the video data (Steddin and Brandt 1995); thus, there is a risk of losing data, if the online detection of the pupil temporarily fails, or if torsion is not calculated properly. III.) More reliable semi-realtime systems detect the pupil online, and store only those parts of the image which are relevant for offline calculation of the eye’s torsion (Moore et al. 1991). This method has resulted in sampling rates of only a few frames per second due to the time-consuming online calculation of pupil position and eye torsion.

Keywords

Hard Disk Video Data Ocular Torsion Offline Calculation Pupil Position 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Clarke AH, Teiwes W, Scherer H. (1991) Video-oculography — An alternative method for measurement of three-dimensional eye movements. In: Schmid R, Zambarbieri D (eds) Oculomotor control and cognitive processes. Elsevier, Amsterdam, pp 431–443Google Scholar
  2. Moore ST, Curthoys IS, McCoy SG. (1991) VTM — An image-processing system for measuring ocular torsion. Computer Methods and Programs in Biomedicine 35: 219–30PubMedCrossRefGoogle Scholar
  3. Moore ST, Haslwanter T, Curthoys IS, Smith ST. (1996) A geometric basis for measurement of three-dimensional eye position using image processing. Vision Res. 36: 445–59PubMedCrossRefGoogle Scholar
  4. Steddin S, Brandt T. (1995) Rapid scan video-oculography (RASVOG) for measurement of rapid eye movements. J. Neurol 242, Suppl 2: 64CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media New York 1999

Authors and Affiliations

  • Sven Steddin
    • 1
  • Alexander Weiß
    • 1
  1. 1.Department of NeurologyLudwig-Maximilians UniversityMunichGermany

Personalised recommendations