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A real-time gaze position estimation method based on a 3-D eye model.

Kang Ryoung Park1

  • 1Division of Media Technology, Sangmyung University, Seoul 110 743, Korea. parkgr@smu.ac.kr

IEEE Transactions on Systems, Man, and Cybernetics. Part B, Cybernetics : a Publication of the IEEE Systems, Man, and Cybernetics Society
|February 7, 2007
PubMed
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This study introduces an advanced gaze-detection system using multiple cameras and dual illuminators for accurate, real-time eye tracking. The method eliminates user calibration and effectively handles glasses-induced reflections, achieving high precision.

Area of Science:

  • Computer Vision
  • Human-Computer Interaction
  • Biomedical Engineering

Background:

  • Gaze detection is crucial for HCI and assistive technologies.
  • Previous methods struggle with user calibration, head movement, and reflections from glasses.
  • Accurate 3D eye position and gaze vector estimation remain challenging.

Purpose of the Study:

  • To develop a novel, user-independent gaze-detection system with enhanced accuracy and real-time performance.
  • To address limitations of existing methods, including specular reflection issues and the need for calibration.
  • To enable natural user interaction by accommodating head and eye movements.

Main Methods:

  • Utilizes a three-camera system (one wide-view, two narrow-view with auto-zooming).

Related Experiment Videos

  • Employs dual illuminators to mitigate specular reflection problems for users wearing glasses.
  • Integrates pupillary-visual axis disparity and coordinate unification for precise 3D calculations.
  • Applies adaptive-selection for wide-view camera eye detection and an eigenvector matrix for final gaze vector refinement.

    • Main Results:

    • Achieved a root mean square error of approximately 0.627 cm on a 19-in monitor.
    • Demonstrated real-time processing speed of 32 ms on a Pentium IV 1.8-GHz PC.
    • Successfully enabled natural head and eye movements during gaze detection.

    Conclusions:

    • The proposed gaze-detection method offers high accuracy and real-time performance without user-specific calibration.
    • It effectively overcomes challenges like specular reflections and user movement, enhancing usability.
    • This system represents a significant advancement in gaze-tracking technology for various applications.