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公开(公告)号:US10474231B2
公开(公告)日:2019-11-12
申请号:US15846209
申请日:2017-12-19
Applicant: Industrial Technology Research Institute
Inventor: Hsiao-Wei Liu , Yu-Ying Lan , Hsin-Cheng Lin , Chung-Lun Kuo , Chia-Liang Yeh
Abstract: An eye tracking apparatus and an eye tracking method for the eye tracking apparatus are provided. The eye tracking apparatus includes an image capture device and a computing device. The image capture device is adapted to capture at least one face image. The computing device is coupled to the image capture device. The computing device receives the face image to obtain an eye image and identifies at least one iris region of the eye image. The computing device chooses the largest iris region from the iris regions to obtain a fitting pattern of the largest iris region and obtains a gaze point of the eye image based on the fitting pattern.
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公开(公告)号:US12136485B2
公开(公告)日:2024-11-05
申请号:US17563060
申请日:2021-12-28
Applicant: Industrial Technology Research Institute
Inventor: Hsiao-Wei Liu , Tseng-Wei Lai , Sen-Yih Chou
IPC: G16H30/40 , G06N20/20 , G06V10/774 , G16H50/20
Abstract: An electronic device and a method for determining medical images are provided. The method includes: obtaining an input image; inputting the input image into a first machine learning model to generate a labeled image, wherein the labeled image includes a plurality of area images; inputting the labeled image into a second machine learning model to generate a plurality of area determination data corresponding to the plurality of area images; and displaying a determination result including the plurality of area determination data.
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公开(公告)号:US20230178219A1
公开(公告)日:2023-06-08
申请号:US17563060
申请日:2021-12-28
Applicant: Industrial Technology Research Institute
Inventor: Hsiao-Wei Liu , Tseng-Wei Lai , Sen-Yih Chou
IPC: G16H30/40 , G16H50/20 , G06V10/774 , G06N20/20
CPC classification number: G16H30/40 , G16H50/20 , G06V10/774 , G06N20/20
Abstract: An electronic device and a method for determining medical images are provided. The method includes: obtaining an input image; inputting the input image into a first machine learning model to generate a labeled image, wherein the labeled image includes a plurality of area images; inputting the labeled image into a second machine learning model to generate a plurality of area determination data corresponding to the plurality of area images; and displaying a determination result including the plurality of area determination data.
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公开(公告)号:US20190056781A1
公开(公告)日:2019-02-21
申请号:US15846209
申请日:2017-12-19
Applicant: Industrial Technology Research Institute
Inventor: Hsiao-Wei Liu , Yu-Ying Lan , Hsin-Cheng Lin , Chung-Lun Kuo , Chia-Liang Yeh
Abstract: An eye tracking apparatus and an eye tracking method for the eye tracking apparatus are provided. The eye tracking apparatus includes an image capture device and a computing device. The image capture device is adapted to capture at least one face image. The computing device is coupled to the image capture device. The computing device receives the face image to obtain an eye image and identifies at least one iris region of the eye image. The computing device chooses the largest iris region from the iris regions to obtain a fitting pattern of the largest iris region and obtains a gaze point of the eye image based on the fitting pattern.
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