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Study on eye gaze estimation.

Jian-Gang Wang1, E Sung

  • 1Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ.

IEEE Transactions on Systems, Man, and Cybernetics. Part B, Cybernetics : a Publication of the IEEE Systems, Man, and Cybernetics Society
|February 2, 2008
PubMed
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This study introduces a novel "one-circle" algorithm for accurate eye gaze estimation from a single eye image. The method uses geometric constraints to uniquely determine gaze direction, improving accuracy with higher resolution iris images.

Area of Science:

  • Computer Vision
  • Biomedical Engineering
  • Human-Computer Interaction

Background:

  • Human visual line-of-sight involves head pose and eye orientation.
  • Accurate eye gaze estimation is crucial for various applications.
  • Previous methods often require multiple images or specialized hardware.

Purpose of the Study:

  • To present a novel algorithm for monocular eye gaze estimation.
  • To improve the accuracy of eye gaze direction determination.
  • To demonstrate the feasibility of unique gaze estimation from a single eye image.

Main Methods:

  • Developed the "one-circle" algorithm using projective geometry.
  • Estimated eye gaze from the elliptical image of the iris contour.
  • Applied a geometric constraint based on eyeball center and eye corner distances for disambiguation.

Related Experiment Videos

  • Integrated head pose estimation to guide eye gaze searching.
  • Main Results:

    • Successfully estimated unique eye gaze direction from a single eye image.
    • Achieved higher accuracy by using zoom-in cameras for higher resolution iris images.
    • Validated the robustness of the gaze determination approach through extensive experiments on synthetic and real data.

    Conclusions:

    • The "one-circle" algorithm enables accurate eye gaze estimation from a single, high-resolution eye image.
    • Combining head pose with eye gaze estimation enhances overall system performance.
    • This approach offers a more accessible and accurate method for eye gaze tracking.