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公开(公告)号：US12039449B2
公开(公告)日：2024-07-16
申请号：US17119381
申请日：2020-12-11
发明人： Seong-Jin Park , Sung Ju Hwang , Seungju Han , Insoo Kim , Jiwon Baek , Jaejoon Han
IPC分类号： G06N3/08 , G06F17/18 , G06F18/10 , G06F18/213 , G06F18/2415 , G06F18/2431 , G06N3/082 , G06V10/44 , G06V10/764 , G06V10/774 , G06V40/16
CPC分类号： G06N3/082 , G06F17/18 , G06F18/10 , G06F18/213 , G06F18/2415 , G06F18/2431 , G06N3/08 , G06V10/454 , G06V10/764 , G06V10/774 , G06V40/168 , G06V40/174
摘要： A processor-implemented neural network method includes: extracting, by a feature extractor of a neural network, a plurality of training feature vectors corresponding to a plurality of training class data of each of a plurality of classes including a first class and a second class; determining, by a feature sample generator of the neural network, an additional feature vector of the second class based on a mean vector and a variation vector of the plurality of training feature vectors of each of the first class and the second class; and training a class vector of the second class included in a classifier of the neural network based on the additional feature vector and the plurality of training feature vectors of the second class.
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公开(公告)号：US11869272B2
公开(公告)日：2024-01-09
申请号：US16899935
申请日：2020-06-12
发明人： Youngjun Kwak , Minsu Ko , Youngsung Kim , Heewon Kim , Ju Hwan Song , Byung In Yoo , Seon Min Rhee , Yong-il Lee , Jiho Choi , Seungju Han
CPC分类号： G06V40/166 , G06F21/32 , G06T7/0012 , G06T7/73 , G06V10/143 , G06V40/161 , G06V40/168 , G06V40/40 , G06T2207/10028 , G06T2207/10048 , G06T2207/30201
摘要： A processor-implemented method includes: generating a preprocessed infrared (IR) image by performing first preprocessing based on an IR image including an object; generating a preprocessed depth image by performing second preprocessing based on a depth image including the object; and determining whether the object is a genuine object based on the preprocessed IR image and the preprocessed depth image.
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公开(公告)号：US11747442B2
公开(公告)日：2023-09-05
申请号：US17019672
申请日：2020-09-14
发明人： Insoo Kim , Seungju Han , Jaejoon Han
摘要： A processor-implemented radar data recognition method includes: generating a plurality of pieces of input data, with respectively different dimension configurations, based on radar data of an object; and outputting a recognition result of the object based on the generated plurality of pieces of input data using a recognition model.
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公开(公告)号：US11682232B2
公开(公告)日：2023-06-20
申请号：US16148129
申请日：2018-10-01
发明人： Sungun Park , Jihye Kim , Jaejoon Han , Minsu Ko , Seungju Han , Jinwoo Son , Changyong Son
IPC分类号： G06F21/00 , G06V40/16 , G06F21/32 , G06T7/73 , G06F16/583 , G06V40/40 , G06F18/22 , H04N23/90 , G06V10/75
CPC分类号： G06V40/172 , G06F16/5838 , G06F18/22 , G06F21/32 , G06T7/74 , G06V40/45 , H04N23/90 , G06T2207/10024 , G06T2207/10048 , G06T2207/20024 , G06T2207/20081 , G06T2207/20084 , G06V10/759 , G06V40/165 , G06V40/171
摘要： An image matching method includes extracting, from a first image of an object, a landmark patch including a landmark point of the object; extracting, from a second image of the object, a target patch corresponding to the landmark patch; and determining a target point in the second image corresponding to the landmark point based on a matching between the landmark patch and the target patch.
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5.发明授权公开(公告)号：US11544497B2
公开(公告)日：2023-01-03
申请号：US17101552
申请日：2020-11-23
发明人： Byungin Yoo , Youngjun Kwak , Jungbae Kim , Seon Min Rhee , Seungju Han , Jaejoon Han , Wonjun Hwang
摘要： A method and an apparatus for recognizing an object are disclosed. The apparatus may extract a plurality of features from an input image using a single recognition model and recognize an object in the input image based on the extracted features. The single recognition model may include at least one compression layer configured to compress input information and at least one decompression layer configured to decompress the compressed information to determine the features.
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6.发明授权公开(公告)号：US11455384B2
公开(公告)日：2022-09-27
申请号：US17083618
申请日：2020-10-29
发明人： Minsu Ko , Seungju Han , Jaejoon Han , Deoksang Kim , Chang Kyu Choi
IPC分类号： G06F21/32 , G06F16/583
摘要： A method and apparatus with an adaptively updated enrollment database (DB) are provided. A method with an adaptively updated enrollment database (DB) includes extracting an input feature vector from an input image, determining whether the input feature vector is included in a changeable enrollment range, with the changeable enrollment range being determined based on a threshold distance from each of plural enrolled feature vectors in the enrollment DB, and with the enrolled feature vectors corresponding to enrolled images, determining whether to enroll the input feature vector in the enrollment DB in response to the input feature vector being determined as being included in the changeable enrollment range, and in response to a result of the determining of whether to enroll the input feature vector being to enroll the input feature vector, selectively enrolling the input feature vector in the enrollment DB.
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公开(公告)号：US11256906B2
公开(公告)日：2022-02-22
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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公开(公告)号：US10891466B2
公开(公告)日：2021-01-12
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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9.发明授权公开(公告)号：US10860887B2
公开(公告)日：2020-12-08
申请号：US15347143
申请日：2016-11-09
发明人： Byungin Yoo , Youngjun Kwak , Jungbae Kim , Seon Min Rhee , Seungju Han , Jaejoon Han , Wonjun Hwang
摘要： A method and an apparatus for recognizing an object are disclosed. The apparatus may extract a plurality of features from an input image using a single recognition model and recognize an object in the input image based on the extracted features. The single recognition model may include at least one compression layer configured to compress input information and at least one decompression layer configured to decompress the compressed information to determine the features.
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10.发明授权公开(公告)号：US10769256B2
公开(公告)日：2020-09-08
申请号：US15469984
申请日：2017-03-27
发明人： Jaejoon Han , Jungbae Kim , Seon Min Rhee , Seungju Han , Minsu Ko
IPC分类号： G06F21/00 , G06F21/32 , G06F16/23 , G06F16/51 , G06K9/00 , G06K9/62 , G07C9/37 , G06F21/45 , G06F21/36 , G06K9/46 , H04L29/06
摘要： An adaptive updating method of an enrollment database is disclosed. The method may include extracting a first feature vector from an input image of a user, determining whether the input image is to be enrolled in an enrollment database based on the first feature vector, second feature vectors of enrollment images including initial enrollment images enrolled in the enrollment database, and a representative vector representing the initial enrollment images, and enrolling the input image in the enrollment database based on a result of the determining.
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