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公开(公告)号：US20230326241A1
公开(公告)日：2023-10-12
申请号：US18333195
申请日：2023-06-12
发明人： Changyong SON , Wonsuk CHANG , Deoksang KIM , Dae-Kyu SHIN , Byungin YOO , Seungju HAN , Jaejoon HAN , Jinwoo SON , Chang Kyu CHOI
CPC分类号： G06V40/167 , G06V40/171 , G06V40/45 , G06V40/161 , G06V40/172 , G06V40/174 , G06F18/22 , G06V10/761
摘要： Disclosed is a face verification method and apparatus. A mobile device may include one or more processors configured to obtain one or more images for a user, ascertain whether any of the one or more images correspond to respective user distances, from the user to the mobile device, outside of a threshold range of distances, and selectively, based on a result of the ascertaining, perform verification using a first verification threshold for any of the one or more images ascertained to correspond to the respective user distances that are outside the threshold range of distances, and perform verification using a less strict second verification threshold for any of the one or more images that have been ascertained to not correspond to the respective user distances that are outside the threshold range of distances.
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公开(公告)号：US20230021306A9
公开(公告)日：2023-01-19
申请号：US17574408
申请日：2022-01-12
发明人： Changyong SON , Jinwoo SON , Byungin YOO , Chang Kyu CHOI , Jae-Joon HAN
摘要： A lightened neural network method and apparatus. The neural network apparatus includes a processor configured to generate a neural network with a plurality of layers including plural nodes by applying lightened weighted connections between neighboring nodes in neighboring layers of the neural network to interpret input data applied to the neural network, wherein lightened weighted connections of at least one of the plurality of layers includes weighted connections that have values equal to zero for respective non-zero values whose absolute values are less than an absolute value of a non-zero value. The lightened weighted connections also include weighted connections that have values whose absolute values are no greater than an absolute value of another non-zero value, the lightened weighted connections being lightened weighted connections of trained final weighted connections of a trained neural network whose absolute maximum values are greater than the absolute value of the other non-zero value.
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公开(公告)号：US20210089760A1
公开(公告)日：2021-03-25
申请号：US17109762
申请日：2020-12-02
发明人： Tianchu GUO , Youngsung KIM , Hui ZHANG , Byungin YOO , Chang Kyu CHOI , Jae-Joon HAN , Jingtao XU , Deheng QIAN
摘要： A processor implemented method of processing a facial expression image, the method includes controlling a camera to capture a first facial expression image and a second facial expression image, acquiring a first expression feature of the first facial expression image, acquiring a second expression feature of the second facial expression image, generating a new expression feature dependent on differences between the acquired first expression feature and the acquired second expression feature, and adjusting a target facial expression image based on the new expression feature.
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公开(公告)号：US20200320280A1
公开(公告)日：2020-10-08
申请号：US16904635
申请日：2020-06-18
发明人： Changyong SON , Wonsuk CHANG , Deoksang KIM , Dae-Kyu SHIN , Byungin YOO , Seungju HAN , Jaejoon HAN , Jinwoo SON , Chang Kyu CHOI
摘要： Disclosed is a face verification method and apparatus. The method including analyzing a current frame of a verification image, determining a current frame state score of the verification image indicating whether the current frame is in a state predetermined as being appropriate for verification, determining whether the current frame state score satisfies a predetermined validity condition, and selectively, based on a result of the determining of whether the current frame state score satisfies the predetermined validity condition, extracting a feature from the current frame and performing verification by comparing a determined similarity between the extracted feature and a registered feature to a set verification threshold.
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公开(公告)号：US20190294907A1
公开(公告)日：2019-09-26
申请号：US16437495
申请日：2019-06-11
发明人： Byungin YOO , Jun Ho YIM , Jun Mo KIM , Hee Chul JUNG , Chang Kyu CHOI , Jaejoon HAN
摘要： At least some example embodiments disclose a device and a method for generating a synthetic image and a different-angled image and eliminating noise. The method may include receiving input images, extracting feature values corresponding to the input images using an image learning model, the image learning model permitting an input and an output to be identical and generating a synthetic image based on the feature values corresponding to the input images using the image learning model.
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公开(公告)号：US20180068218A1
公开(公告)日：2018-03-08
申请号：US15463553
申请日：2017-03-20
发明人： Byungin YOO , Youngsung KIM , Youngjun KWAK , Chang Kyu CHOI
CPC分类号： G06N3/08 , G06K9/00624 , G06K9/4604 , G06K9/4628 , G06K9/6232 , G06K9/6271 , G06N3/04 , G06N3/0454 , G06N3/084
摘要： A neural network recognition method includes obtaining a first neural network that includes layers and a second neural network that includes a layer connected to the first neural network, actuating a processor to compute a first feature map from input data based on a layer of the first neural network, compute a second feature map from the input data based on the layer connected to the first neural network in the second neural network, and generate a recognition result based on the first neural network from an intermediate feature map computed by applying an element-wise operation to the first feature map and the second feature map.
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公开(公告)号：US20170116490A1
公开(公告)日：2017-04-27
申请号：US15175315
申请日：2016-06-07
发明人： Seungju HAN , Byungin YOO , Jaejoon HAN
CPC分类号： G06K9/00892 , G06F21/32 , G06K9/00087 , G06K9/00288 , G06K9/00315 , H04L63/0861 , H04M1/673 , H04M2250/22
摘要： A complex authentication method includes identifying a user based on at least one image of a face image and a fingerprint image; identifying a first pattern associated with at least one of a feature point extracted from the face image and a first input to a display of an electronic device; and performing an operation assigned to the identified user and the identified first pattern.
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公开(公告)号：US20220253642A1
公开(公告)日：2022-08-11
申请号：US17374174
申请日：2021-07-13
发明人： Jaeseok CHOI , Nahyup KANG , Hyongeuk LEE , Byungin YOO
摘要： An image restoration method includes determining an anchor image based on individual images of a burst image set, executing a feature extraction network based on the burst image set while using anchor information of the anchor image, and generating a restored image based on a feature map corresponding to an output of the feature extraction network.
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公开(公告)号：US20210397819A1
公开(公告)日：2021-12-23
申请号：US17106807
申请日：2020-11-30
发明人： Sungheon PARK , Youngjun KWAK , Byungin YOO , Solae LEE , Yong-Il LEE , Hana LEE , Jiho CHOI
摘要： Disclosed is an object recognition method and object recognition apparatus. The object recognition method may include detecting an object region comprising an object in an input image, determining scores corresponding to regions of the object region, determining weights based on the scores and detection information of the object region, determining a final score based on the scores and the determined weights, and determining a result of recognizing the object based on the final score.
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公开(公告)号：US20210089754A1
公开(公告)日：2021-03-25
申请号：US17111907
申请日：2020-12-04
发明人： Changyong SON , Wonsuk CHANG , Deoksang KIM , Dae-Kyu SHIN , Byungin YOO , Seungju HAN , Jaejoon HAN , Jinwoo SON , Chang Kyu CHOI
摘要： Disclosed is a face verification method and apparatus. The method including analyzing a current frame of a verification image, determining a current frame state score of the verification image indicating whether the current frame is in a state predetermined as being appropriate for verification, determining whether the current frame state score satisfies a predetermined validity condition, and selectively, based on a result of the determining of whether the current frame state score satisfies the predetermined validity condition, extracting a feature from the current frame and performing verification by comparing a determined similarity between the extracted feature and a registered feature to a set verification threshold.
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