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Related Experiment Video

Updated: Dec 20, 2025

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Appearance-Based Gaze Estimation via Uncalibrated Gaze Pattern Recovery.

Feng Lu, Xiaowu Chen, Yoichi Sato

    IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
    |January 28, 2017
    PubMed
    Summary

    This study introduces an uncalibrated gaze pattern method for appearance-based gaze estimation, reducing person/scene dependence. The novel approach simplifies calibration, enabling broader applications and efficient, promising results in various conditions.

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    Area of Science:

    • Computer Vision
    • Human-Computer Interaction
    • Biomedical Engineering

    Background:

    • Appearance-based gaze estimation typically requires person and scene-specific calibration, limiting its real-world applicability.
    • Existing methods often rely on extensive training data for accurate gaze mapping.
    • There is a need for gaze estimation techniques that are independent of specific individuals and environments.

    Purpose of the Study:

    • To develop a novel method for appearance-based gaze estimation that overcomes person/scene dependence.
    • To introduce and solve an "uncalibrated gaze pattern" from eye images.
    • To enable simple and efficient calibration for aligning gaze patterns to targets.

    Main Methods:

    • Developed an "uncalibrated gaze pattern" using nonlinear dimension reduction and pixel motion analysis on eye images.
    • The method recovers gaze movements up to scaling and translation ambiguities without prior training or calibration.
    • Introduced a simple calibration procedure to align the gaze pattern to specific gaze targets.

    Main Results:

    • The proposed uncalibrated gaze pattern demonstrates novel and broad capabilities, independent of person and scene.
    • The calibration method is shown to be simple, efficient, and can be omitted in certain scenarios.
    • Quantitative evaluations yielded promising results across diverse experimental conditions.

    Conclusions:

    • The novel uncalibrated gaze pattern offers a significant advancement in appearance-based gaze estimation.
    • The simplified calibration process makes gaze estimation more accessible and versatile.
    • The method shows strong potential for various applications requiring robust and efficient gaze tracking.