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An auxiliary gaze point estimation method based on facial normal.

Wei Sun1, Nan Sun1, Baolong Guo1

  • 1School of Aerospace Science and Technology, Xidian University, Xi'an, Shaanxi, China.

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Summary
This summary is machine-generated.

This study introduces a novel gaze point estimation method using facial normal and binocular vision, overcoming limitations of existing techniques. The new approach enhances accuracy and robustness without restricting head movement.

Keywords:
Binocular visionFacial normalIntegro-differential operatorsPlane fittingViola-Jones framework

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Area of Science:

  • Computer Vision
  • Human-Computer Interaction
  • Biomedical Engineering

Background:

  • Existing gaze point estimation methods often restrict head movement, potentially causing discomfort or injury.
  • There is a need for gaze tracking systems that are accurate, robust, and non-intrusive.

Purpose of the Study:

  • To propose a novel gaze point estimation method utilizing facial normal and binocular vision.
  • To overcome the limitations of existing methods by allowing unrestricted head movement.

Main Methods:

  • Stereo camera calibration to obtain intrinsic and extrinsic parameters.
  • Face, iris, nostril, and mouth detection using Viola-Jones and integro-differential operators.
  • 3D coordinate calculation via stereo matching and reconstruction.
  • Facial plane approximation using least squares fitting.
  • Gaze point determination by intersecting the facial normal with the computer screen.

Main Results:

  • The proposed method accurately estimates the point-of-gaze.
  • Experimental results demonstrate the robustness of the technique.
  • The system allows for natural, unrestricted user head movement.

Conclusions:

  • The developed gaze point estimation method is accurate and robust.
  • This approach offers a more comfortable and less injurious alternative to current gaze tracking systems.
  • The method shows promise for applications requiring natural interaction.