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公开(公告)号：US20190251380A1
公开(公告)日：2019-08-15
申请号：US16268792
申请日：2019-02-06
Applicant: Samsung Electronics Co., Ltd.
Inventor： SungUn PARK , Hyeongwook YANG , Tushar Balasaheb SANDHAN , Jiaqian YU , Jingtao XU , Youngjun KWAK , Juwoan YOO , Jae Joon HAN
CPC classification number: G06K9/00906 , G06K9/00228 , G06K9/00268 , G06K9/0061 , G06K9/6202 , G06K9/6228 , G06K9/6289 , G06K9/629 , G06K2009/6213
Abstract: Provided is a liveness verification method and device. A liveness verification device acquires a first image and a second image, and select one or more liveness models based on respective analyses of the first image and the second image, including analyses based on an object part being detected in the first image and/or the second image, and to verify, using the selected one or more liveness models, a liveness of the object based on the first image and/or the second image. The first image may be a color image and the second image may be an Infrared image.
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公开(公告)号：US20190197331A1
公开(公告)日：2019-06-27
申请号：US16224970
申请日：2018-12-19
Applicant: Samsung Electronics Co., Ltd.
Inventor： Youngjun KWAK , Byung In YOO , Youngsung KIM , Chang Kyu CHOI , Jaejoon HAN
CPC classification number: G06K9/00906 , G06F21/6218 , G06K9/00228 , G06K9/00268 , G06K9/00926 , G06K9/4628 , G06K9/6215 , G06K9/6272 , G06N3/02 , G06T7/60 , G06T7/70 , G06T2207/20084 , G06T2207/30201
Abstract: A processor-implemented liveness test method includes detecting a face region in a query image, the query image including a test object for a liveness test, determining a liveness test condition to be applied to the test object among at least one liveness test condition for at least one registered user registered in a registration database, determining at least one test region in the query image based on the detected face region and the determined liveness test condition, obtaining feature data of the test object from image data of the determined at least one test region using a neural network-based feature extractor, and determining a result of the liveness test based on the obtained feature data and registered feature data registered in the registration database and corresponding to the determined liveness test condition.
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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
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Byungin YOO , Youngsung KIM , Youngjun KWAK , Chang Kyu CHOI
CPC classification number: G06N3/08 , G06K9/00624 , G06K9/4604 , G06K9/4628 , G06K9/6232 , G06K9/6271 , G06N3/04 , G06N3/0454 , G06N3/084
Abstract: 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：US20230229926A1
公开(公告)日：2023-07-20
申请号：US18127891
申请日：2023-03-29
Applicant: Samsung Electronics Co., Ltd.
Inventor： Chang Kyu CHOI , Youngjun KWAK , Seohyung LEE
CPC classification number: G06N3/084 , G06T5/001 , G06T5/20 , G06N3/08 , G06N20/00 , G06V10/764 , G06V10/82 , G06V10/451 , G06T2207/10024 , G06T2207/20084 , G06F2218/00
Abstract: A processor-implemented method of generating feature data includes: receiving an input image; generating, based on a pixel value of the input image, at least one low-bit image having a number of bits per pixel lower than a number of bits per pixel of the input image; and generating, using at least one neural network, feature data corresponding to the input image from the at least one low-bit image.
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公开(公告)号：US20220301190A1
公开(公告)日：2022-09-22
申请号：US17668513
申请日：2022-02-10
Inventor： Youngjun KWAK , Taekyung KIM , Changick KIM , Byeongjun PARK , Changbeom PARK
Abstract: A scene flow estimation method and apparatus are provided. The scene flow estimation method includes receiving a first feature pyramid and a second feature pyramid by encoding a first frame and a second frame of an input image through the same encoder, extracting a depth feature based on the first feature pyramid, extracting a motion feature based on the first feature pyramid and the second feature pyramid, generating an overall feature based on the depth feature and the motion feature, and estimating a scene flow based on the overall feature.
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Patent Agency Ranking
公开(公告)号：US20220130175A1
公开(公告)日：2022-04-28
申请号：US17570711
申请日：2022-01-07
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Solae LEE , Youngjun KWAK , Sungheon PARK , Byung In YOO , Yong-Il LEE , Hana LEE , Jiho CHOI
Abstract: A method and apparatus for detecting a liveness based on a phase difference are provided. The method includes generating a first phase image based on first visual information of a first phase, generating a second phase image based on second visual information of a second phase, generating a minimum map based on a disparity between the first phase image and the second phase image, and detecting a liveness based on the minimum map.
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公开(公告)号：US20210287026A1
公开(公告)日：2021-09-16
申请号：US17333915
申请日：2021-05-28
Applicant: Samsung Electronics Co., Ltd.
Inventor： SungUn PARK , Hyeongwook YANG , Tushar Balasaheb SANDHAN , Jiaqian YU , Jingtao XU , Youngjun KWAK , Juwoan YOO , Jae Joon HAN
Abstract: Provided is a liveness verification method and device. A liveness verification device acquires a first image and a second image, and select one or more liveness models based on respective analyses of the first image and the second image, including analyses based on an object part being detected in the first image and/or the second image, and to verify, using the selected one or more liveness models, a liveness of the object based on the first image and/or the second image. The first image may be a color image and the second image may be an Infrared image.
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公开(公告)号：US20210166045A1
公开(公告)日：2021-06-03
申请号：US16939757
申请日：2020-07-27
Applicant: Samsung Electronics Co., Ltd.
Inventor： Youngjun KWAK , Byung In YOO , Yong-Il LEE , Yunhao ZHANG , Huxing SUN
Abstract: A method with liveness testing may include: acquiring an infrared (IR) image including an object, and a depth image including the object; generating a first preprocessed IR image by performing first edge enhancement preprocessing on the IR image; generating a preprocessed depth image by performing second edge enhancement preprocessing on the depth image; and determining whether the object is a genuine object based on the first preprocessed IR image and the preprocessed depth image.
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公开(公告)号：US20210150367A1
公开(公告)日：2021-05-20
申请号：US16902299
申请日：2020-06-16
Applicant: Samsung Electronics Co., Ltd.
Inventor： Youngjun KWAK , Youngsung KIM , Byung In YOO , Yong-Il LEE , Hana LEE , Sangil JUNG
Abstract: A processor-implemented method including implementing a deep neural network (DNN) model using input data, generating, by implementing the DNN model, first output data from the DNN model, changing the DNN model, generating, by implementing the changed DNN model using the input data, second output data of the changed DNN model, and determining result data by combining the first output data and the second output data.
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30.发明申请公开(公告)号：US20210073582A1
公开(公告)日：2021-03-11
申请号：US17101552
申请日：2020-11-23
Applicant: Samsung Electronics Co., Ltd.
Inventor： Byungin YOO , Youngjun KWAK , Jungbae KIM , Seon Min RHEE , Seungju HAN , Jaejoon HAN , Wonjun HWANG
Abstract: 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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