CPC G06F 3/013 (2013.01) [G06T 7/74 (2017.01); G06V 10/764 (2022.01); G06V 10/82 (2022.01); G06V 40/18 (2022.01); G06T 2207/20021 (2013.01); G06T 2207/20076 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30201 (2013.01); G06V 20/20 (2022.01)] | 13 Claims |
1. A processor-implemented gaze estimation method, comprising:
obtaining an image including an eye region of a user;
extracting, from the obtained image, a first feature of data;
obtaining a second feature of data used for calibration of a neural network model; and
estimating a position of a gaze point in a gaze area of the user from the first feature and the second feature using the neural network model,
wherein the estimating of the position of the gaze point comprises:
determining, from subareas into which the gaze area is divided, a subarea in which the gaze point is included based on a feature difference between the first feature and the second feature, and
determining the position of the gaze point based on the determined subarea.
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