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公开(公告)号：US20230334901A1
公开(公告)日：2023-10-19
申请号：US18339484
申请日：2023-06-22
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. 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：US20210225018A1
公开(公告)日：2021-07-22
申请号：US17146752
申请日：2021-01-12
发明人： Jiaqian YU , Jingtao XU , Yiwei CHEN , Byung In YOO , Chang Kyu CHOI , Hana LEE , Jaejoon HAN , Qiang WANG
IPC分类号： G06T7/50 , H01L27/146
摘要： A depth estimation method and apparatus are provided. The depth estimation method includes obtaining an image from an image sensor comprising upper pixels, each comprising N sub-pixels, obtaining N sub-images respectively corresponding to the N sub-pixels from the image, obtaining a viewpoint difference between the N sub-images using a first neural network, and obtaining a depth map of the image based on the viewpoint difference using a second neural network.
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公开(公告)号：US20210224564A1
公开(公告)日：2021-07-22
申请号：US17146809
申请日：2021-01-12
发明人： Jingtao XU , Jiaqian YU , Byung In YOO , Chang Kyu CHOI , Hyunjeong LEE , Hangkai TAN , Jaejoon HAN , Qiang WANG , Yiwei CHEN
摘要： Disclosed is a target tracking method and apparatus. The target tracking apparatus includes a processor configured to obtain a first depth feature from a target region image and obtain a second depth feature from a search region image, obtain a global response diagram between the first depth feature and the second depth feature, acquire temporary bounding box information based on the global response diagram, updated the second depth feature based on the temporary bounding box information, obtain local feature blocks based on the first depth feature, obtain a local response diagram based on the local feature blocks and the updated second depth feature, and determine output bounding box information based on the local response diagram.
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公开(公告)号：US20210056332A1
公开(公告)日：2021-02-25
申请号：US17089902
申请日：2020-11-05
发明人： SeungJu HAN , SungUn PARK , JaeJoon HAN , Jinwoo SON , ChangYong SON , Minsu KO , Jihye KIM , Chang Kyu CHOI
IPC分类号： G06K9/00
摘要： An object recognition apparatus and method are provided. The apparatus includes a processor configured to verify a target image using an object model and based on reference intermediate data extracted by a partial layer of the object model as used in an object recognition of an input image, in response to a failure of a verification of the input image after a success of the object recognition of the input image, and perform an additional verification of the target image in response to the target image being verified in the verifying of the target image.
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65.发明申请公开(公告)号：US20200257884A1
公开(公告)日：2020-08-13
申请号：US16860724
申请日：2020-04-28
发明人： Wonjun KIM , Youngsung KIM , Sungjoo SUH , Hyungsuk KIM , Chang Kyu CHOI
IPC分类号： G06K9/00
摘要： An apparatus and method for detecting a fake fingerprint is disclosed. The apparatus may divide an input fingerprint image into blocks, determine an image quality assessment (IQA) value associated with each block, determine a confidence value based on the IQA values using a confidence determination model, and determine whether an input fingerprint in the input fingerprint image is a fake fingerprint based on the determined confidence value.
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公开(公告)号：US20200027001A1
公开(公告)日：2020-01-23
申请号：US16567365
申请日：2019-09-11
发明人： Byungin YOO , Youngsung KIM , Youngjun KWAK , Chang Kyu CHOI
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：US20190251684A1
公开(公告)日：2019-08-15
申请号：US16223382
申请日：2018-12-18
发明人： Minsu KO , Seungju HAN , Jaejoon HAN , Jihye KIM , SungUn PARK , Chang Kyu CHOI
CPC分类号： G06T5/50 , G06T5/003 , G06T2207/20212 , G06T2207/20221 , G06T2207/30201
摘要： Disclosed is an image fusion method and apparatus. The fusion method includes detecting first feature points of an object in a first image frame from the first image frame; transforming the first image frame based on the detected first feature points and predefined reference points to generate a transformed first image frame; detecting second feature points of the object in a second image frame from the second image frame; transforming the second image frame based on the detected second feature points and the predefined reference points to generate a transformed second image frame; and generating a combined image by combining the transformed first image frame and the transformed second image frame.
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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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公开(公告)号：US20190163954A1
公开(公告)日：2019-05-30
申请号：US16249155
申请日：2019-01-16
发明人： Kyuhong KIM , Namjoon KIM , Chang Kyu CHOI
IPC分类号： G06K9/00 , G06F16/583 , G06F16/51
摘要： A processor fingerprint enrollment method and apparatus is disclosed. A processor implemented fingerprint enrollment method includes performing a matching between a received input fingerprint image of a user and one or more enrolled fingerprint images, and selectively, based on a result of the matching identifying a matched enrolled fingerprint image from the one or more enrolled fingerprint image and based on a calculated degree of diversity in the fingerprint corresponding to an overlapping region between the input fingerprint image and the matched enrolled fingerprint image, storing the input fingerprint as another enrolled fingerprint image.
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公开(公告)号：US20190147227A1
公开(公告)日：2019-05-16
申请号：US16167994
申请日：2018-10-23
发明人： Minsu KO , SeungJu HAN , JaeJoon HAN , Chang Kyu CHOI
摘要： A facial verification method includes separating a query face image into color channel images of different color channels, obtaining a multi-color channel target face image with a reduced shading of the query face image based on a smoothed image and a gradient image of each of the color channel images, extracting a face feature from the multi-color channel target face image, and determining whether face verification is successful based on the extracted face feature.
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