Synthetic infrared image generation for machine learning of gaze estimation

One embodiment of a method includes calculating one or more activation values of one or more neural networks trained to infer eye gaze information based, at least in part, on eye position of one or more images of one or more faces indicated by an infrared light reflection from the one or more images...

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Bibliographic Details
Main Authors Kim, Joohwan, McGuire, Morgan, De Mello, Shalini, Luebke, David, Stengel, Michael, Majercik, Zander, Laine, Samuli
Format Patent
LanguageEnglish
Published 03.05.2022
Subjects
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
ELECTRIC DIGITAL DATA PROCESSING
IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
PHYSICS
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Summary:One embodiment of a method includes calculating one or more activation values of one or more neural networks trained to infer eye gaze information based, at least in part, on eye position of one or more images of one or more faces indicated by an infrared light reflection from the one or more images.
Bibliography:Application Number: US201916355481