General theory of remote gaze estimation using the pupil center and corneal reflections

By E. D. Guestrin, M. Eizenman. IEEE Transactions on Biomedical Engineering, 2006

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3D Social Saliency from Head-mounted Cameras (2012, background): “Guestrin and Eizenman [12] and Hennessey and Lawrence [13] utilized corneal reflections and the vergence of the eye to infer the eye geometry and its motion, respectively.”
Review of Eye Tracking Metrics Involved in Emotional and Cognitive Processes (2021, methodology): “The 3D model-based methods are divided into two subcategories using one [58], [59] or multiple cameras [60], [61].”
Adaptive Linear Regression for Appearance-Based Gaze Estimation (2014, neutral): “tures along with a wide variety of methods from conventional eyeball modeling [5] to a cross-ratios-based geometric method [6], [7].”
Learning-by-Synthesis for Appearance-Based 3D Gaze Estimation (2014, methodology): “Model-based gaze estimation: Model-based 3D gaze estimation methods use 3D eyeball models and estimate the gaze direction using geometric eye features [14, 6, 24].”
TurkerGaze: Crowdsourcing Saliency with Webcam based Eye Tracking (2015, methodology): “Feature-based methods extract small scale eye features such as iris contour [38], corneal infrared reflections and pupil center [35] from high resolution infrared imaging, and use eyeball modeling [10] or geometric method [42] to estimate the gaze direction.”