Gaze determination machine learning system having adaptive weighting of inputs
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United States of America
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Mar 25, 2025
Grant Date -
Jun 29, 2023
app pub date -
Mar 10, 2023
filing date -
Mar 10, 2023
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Abstract
Machine learning systems and methods that determine gaze direction by using face orientation information, such as facial landmarks, to modify eye direction information determined from images of the subject's eyes. System inputs include eye crops of the eyes of the subject, as well as face orientation information such as facial landmarks of the subject's face in the input image. Facial orientation information, or facial landmark information, is used to determine a coarse prediction of gaze direction as well as to learn a context vector of features describing subject face pose. The context vector is then used to adaptively re-weight the eye direction features determined from the eye crops. The re-weighted features are then combined with the coarse gaze prediction to determine gaze direction.
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