Invention Grant
- Patent Title: Gaze determination machine learning system having adaptive weighting of inputs
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Application No.: US17010205Application Date: 2020-09-02
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Publication No.: US11636609B2Publication Date: 2023-04-25
- Inventor: Nishant Puri
- Applicant: NVIDIA Corporation
- Applicant Address: US CA Santa Clara
- Assignee: NVIDIA Corporation
- Current Assignee: NVIDIA Corporation
- Current Assignee Address: US CA Santa Clara
- Agency: Taylor English Duma LLP
- Main IPC: G06K9/46
- IPC: G06K9/46 ; G06T7/20 ; G06T7/00 ; G06T7/70 ; G06N20/00 ; G06N3/08 ; B60W30/08 ; G06V20/56 ; G06V40/16 ; G06V40/18

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.
Public/Granted literature
- US20210183072A1 GAZE DETERMINATION MACHINE LEARNING SYSTEM HAVING ADAPTIVE WEIGHTING OF INPUTS Public/Granted day:2021-06-17
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