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公开(公告)号：US20180157899A1
公开(公告)日：2018-06-07
申请号：US15833224
申请日：2017-12-06
发明人： Jingtao XU , Biao WANG , Yaozu AN , ByungIn YOO , Changkyu CHOI , Deheng QIAN , Jae-Joon HAN
摘要： A method of detecting a target includes determining a quality type of a target image captured using a camera, determining a convolutional neural network of a quality type corresponding to the quality type of the target image in a database comprising convolutional neural networks, determining a detection value of the target image based on the convolutional neural network of the corresponding quality type, and determining whether a target in the target image is a true target based on the detection value of the target image.
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公开(公告)号：US20190147617A1
公开(公告)日：2019-05-16
申请号：US16191102
申请日：2018-11-14
发明人： Hui ZHANG , ByungIn YOO , Deheng QIAN
摘要： A processor-implemented method includes acquiring, by a processor, a first undirected graph and a second undirected graph, generating, by the processor, a first lattice for the first undirected graph and a second lattice for the second undirected graph; matching, by the processor, the first lattice and the second lattice based on a first global structure of the first lattice and a second global structure of the second lattice, the first global structure corresponding to nodes of the first undirected graph and the second global structure corresponding to nodes of the second undirected graph, and processing the first undirected graph and the second undirected graph based on a result of the matching of the first lattice and the second lattice.
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公开(公告)号：US20180276489A1
公开(公告)日：2018-09-27
申请号：US15921740
申请日：2018-03-15
发明人： Jingtao XU , ByungIn YOO , Jae-Joon HAN , Chao ZHANG , Hao FENG , Yanhu SHAN , Yaozu AN , Changkyu CHOI
IPC分类号： G06K9/00
CPC分类号： G06K9/00906 , G06K9/00261 , G06K9/00281 , G06K9/00288 , G06K9/00899
摘要： Disclosed is a liveness test method and apparatus. A liveness test apparatus determines a pre-liveness score based on a plurality of sub-images acquired from an input image, determines a post-liveness score based on a recognition model for recognizing an object included in the input image, and determines a liveness of the object based on any one or any combination of the pre-liveness score and the post-liveness score.
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公开(公告)号：US20210224511A1
公开(公告)日：2021-07-22
申请号：US17153018
申请日：2021-01-20
发明人： Tianchu GUO , Hui ZHANG , Xiabing LIU , ByungIn YOO , ChangKyu CHOI , Jaejoon HAN , YoungJun KWAK , Yongchao LIU
摘要： An image processing method and apparatus using a neural network are provided. The image processing method includes generating a plurality of augmented features by augmenting an input feature, and generating a prediction result based on the plurality of augmented features.
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公开(公告)号：US20200257913A1
公开(公告)日：2020-08-13
申请号：US16861497
申请日：2020-04-29
发明人： Jingtao XU , ByungIn YOO , Jae-Joon HAN , Chao ZHANG , Hao FENG , Yanhu SHAN , Yaozu AN , Changkyu CHOI
IPC分类号： G06K9/00
摘要： Disclosed is a liveness test method and apparatus. A liveness test apparatus determines a pre-liveness score based on a plurality of sub-images acquired from an input image, determines a post-liveness score based on a recognition model for recognizing an object included in the input image, and determines a liveness of the object based on any one or any combination of the pre-liveness score and the post-liveness score.
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公开(公告)号：US20190228248A1
公开(公告)日：2019-07-25
申请号：US16215750
申请日：2018-12-11
发明人： Jaejoon HAN , Youngjun KWAK , ByungIn YOO , Changkyu CHOI
摘要： A processor-implemented liveness test method includes: obtaining a color image including an object and an infrared (IR) image including the object; performing a first liveness test using the color image; performing a second liveness test using the IR image; and determining a liveness of the object based on a result of the first liveness test and a result of the second liveness test.
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公开(公告)号：US20190205626A1
公开(公告)日：2019-07-04
申请号：US16168177
申请日：2018-10-23
发明人： Youngsung KIM , Chang Kyu CHOI , ByungIn YOO
CPC分类号： G06K9/00302 , G06F3/012 , G06F2203/011 , G06K9/00228 , G06K9/00268 , G06K9/00288 , G06K9/6257 , G06N3/0454 , G06N3/08
摘要： A processor-implemented method includes obtaining an input image including a face of a user, extracting a feature from the input image, estimating a facial expression of the input image and an expressiveness of the facial expression of the input image corresponding to a determined expression intensity of the facial expression based on the extracted feature, normalizing the expressiveness of the facial expression of the input image to a universal expressiveness, and recognizing the facial expression based on the universal expressiveness.
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