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公开(公告)号:US11238624B2
公开(公告)日:2022-02-01
申请号:US16808345
申请日:2020-03-03
Applicant: Industrial Technology Research Institute
Inventor: Duan-Li Liao , Chia-Chang Li , Wen-Hung Ting , Po-Lung Chen
Abstract: Provided are an image transform method and an image transform network. The method is for the image transform network including an image generator, a transform discriminator and a focus discriminator, and includes: generating a transformed image according to an un-transformed image and focus information by the image generator; computing a transform discrimination value according to the transformed image by the transform discriminator; computing a value of a first generator loss function and updating the image generator by the image generator; generating a focus discrimination value according to the un-transformed image, the transformed image, and the focus information by the focus discriminator; and computing a value of a second generator loss function according to the focus discrimination value and updating the image generator according to the value of the second generator loss function by the image generator.
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公开(公告)号:US20210118195A1
公开(公告)日:2021-04-22
申请号:US16808345
申请日:2020-03-03
Applicant: Industrial Technology Research Institute
Inventor: Duan-Li Liao , Chia-Chang Li , Wen-Hung Ting , Po-Lung Chen
Abstract: Provided are an image transform method and an image transform network. The method is for the image transform network including an image generator, a transform discriminator and a focus discriminator, and includes: generating a transformed image according to an un-transformed image and focus information by the image generator; computing a transform discrimination value according to the transformed image by the transform discriminator; computing a value of a first generator loss function and updating the image generator by the image generator; generating a focus discrimination value according to the un-transformed image, the transformed image, and the focus information by the focus discriminator; and computing a value of a second generator loss function according to the focus discrimination value and updating the image generator according to the value of the second generator loss function by the image generator.
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公开(公告)号:US08983195B2
公开(公告)日:2015-03-17
申请号:US13726461
申请日:2012-12-24
Applicant: Industrial Technology Research Institute
Inventor: Wen-Hung Ting , Chien-Chun Kuo , Wen-Yang Wang
CPC classification number: G06T7/20 , G06T2207/30241
Abstract: According to one exemplary embodiment, a smoothing method for time data sequences is performed, which includes: smoothing original data points of a time data sequence, then from smoothed data points, determining reference points for a global trajectory and a local trajectory; according to the reference points, calculating a direction of the global trajectory and a direction of the local trajectory; and adaptively calculating new data point(s) by integrating the two directions. The trajectory of new data points maintains the properties of smoothness and real-time perception.
Abstract translation: 根据一个示例性实施例,执行时间数据序列的平滑方法,其包括:平滑时间数据序列的原始数据点,然后平滑数据点,确定全局轨迹和局部轨迹的参考点; 根据参考点,计算全局轨迹的方向和局部轨迹的方向; 并通过整合两个方向自适应地计算新的数据点。 新数据点的轨迹保持了平滑度和实时感知的特性。
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公开(公告)号:US20190303645A1
公开(公告)日:2019-10-03
申请号:US15960559
申请日:2018-04-24
Applicant: Industrial Technology Research Institute
Inventor: Wen-Hung Ting , Hian-Kun Tenn , Duan-Li Liao , Chia-Chang Li , Po-Lung Chen
IPC: G06K9/00
Abstract: An electronic device, an iris recognition method and a non-volatile computer-readable medium are provided. A processor in the electronic device obtains a first and second iris images, and calculates a plurality of first and second feature mark boxes that are non-uniformly arranged according to the first and second iris images. The processor uses the first feature mark boxes to obtain a first and second image features from the first and second iris images respectively, and compares the first and second image features to obtain a first recognition result. The processor uses the second feature mark boxes to obtain a third and fourth image features from the second and first iris images respectively, and compares the third and fourth image features to obtain a second recognition result. The processor determines a similarity degree of the first and second iris images according to the first and second recognition results.
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公开(公告)号:US20240215861A1
公开(公告)日:2024-07-04
申请号:US18512052
申请日:2023-11-17
Applicant: Industrial Technology Research Institute
Inventor: Wen-Hung Ting , Chia-Chang Li
CPC classification number: A61B5/0878 , G06V40/168 , G08B21/0202
Abstract: A facial recognition system and a physiological information generative method are disclosed. The facial recognition system includes a visible light sensor, a thermal imaging sensor, and a processor. The generative method is executed by the processor, using a real-time object detection algorithm. The generative method includes receiving one or more current visible and thermal images, and identifying the nasal area in the current thermal images when a face region in the current visible images is not identifiable by the real-time object detection algorithm in the processor; determining in the processor that respiratory information is abnormal according to the cycles of exhalation and inhalation, as detected through brightness changes in the nostril area; and notifying abnormal respiratory information.
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公开(公告)号:US11754446B2
公开(公告)日:2023-09-12
申请号:US17217849
申请日:2021-03-30
Applicant: INDUSTRIAL TECHNOLOGY RESEARCH INSTITUTE
Inventor: Chia-Chang Li , Shih-Chun Chang , Jay Huang , Wen-Hung Ting
IPC: G01J5/00 , G01J5/0806 , G01J5/02 , G01J5/80 , G01J5/48
CPC classification number: G01J5/0025 , G01J5/0275 , G01J5/0806 , G01J5/485 , G01J5/80 , G01J2005/0077
Abstract: A thermal imaging apparatus for measuring a temperature of a target in a monitored area comprises a thermal imager, an optical image capturing device and a computing processing device. The thermal imager is configured to capture a thermal image of the monitored area. The optical image capturing device is configured to capture optical images of the monitored area. The computing processing device is configured to determine one of the optical images as a determined optical image synchronizing with the thermal image according to positions of blocks corresponding to the target in the thermal image and the optical images, perform calculation according to the thermal image and the determined optical image to obtain a measured distance between the target and the thermal imaging apparatus, and perform calibration according to the measured distance and the thermal image to obtain a calibrated temperature value of the target.
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公开(公告)号:US10890979B2
公开(公告)日:2021-01-12
申请号:US15959665
申请日:2018-04-23
Applicant: INDUSTRIAL TECHNOLOGY RESEARCH INSTITUTE
Inventor: Duan-Li Liao , Chia-Chang Li , Wen-Hung Ting , Hian-Kun Tenn
IPC: G06F3/01 , G06K9/00 , G06F16/532 , G06T7/13
Abstract: A controlling system and a controlling method for virtual display are provided. The controlling system for virtual display includes a visual line tracking unit, a space forming unit, a hand information capturing unit, a transforming unit and a controlling unit. The visual line tracking unit is used for tracking a visual line of a user. The space forming unit is used for forming a virtual display space according to the visual line. The hand information capturing unit is used for obtaining a hand location of the user's one hand in a real operation space. The transforming unit is used for transforming the hand location to be a cursor location in the virtual display space. The controlling unit is used for controlling the virtual display according to the cursor location.
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公开(公告)号:US10474893B2
公开(公告)日:2019-11-12
申请号:US15960559
申请日:2018-04-24
Applicant: Industrial Technology Research Institute
Inventor: Wen-Hung Ting , Hian-Kun Tenn , Duan-Li Liao , Chia-Chang Li , Po-Lung Chen
IPC: G06K9/00
Abstract: An electronic device, an iris recognition method and a non-volatile computer-readable medium are provided. A processor in the electronic device obtains a first and second iris images, and calculates a plurality of first and second feature mark boxes that are non-uniformly arranged according to the first and second iris images. The processor uses the first feature mark boxes to obtain a first and second image features from the first and second iris images respectively, and compares the first and second image features to obtain a first recognition result. The processor uses the second feature mark boxes to obtain a third and fourth image features from the second and first iris images respectively, and compares the third and fourth image features to obtain a second recognition result. The processor determines a similarity degree of the first and second iris images according to the first and second recognition results.
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