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公开(公告)号:US11508188B2
公开(公告)日:2022-11-22
申请号:US17022451
申请日:2020-09-16
Applicant: Samsung Electronics Co., Ltd.
Inventor: Hana Lee , Youngjun Kwak , Sungheon Park , Hyeongwook Yang , Byung In Yoo , Juwoan Yoo , Solae Lee , Yong-Il Lee , Jiho Choi
Abstract: Disclosed is a method and apparatus for testing a liveness, where the liveness test method includes receiving a color image and a photodiode (PD) image of an object from an image sensor comprising a pixel formed of a plurality of PDs, preprocessing the color image and the PD image, and determining a liveness of the object by inputting a result of preprocessing the color image and a result of preprocessing the PD image into a neural network.
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公开(公告)号:US11244181B2
公开(公告)日:2022-02-08
申请号:US17017118
申请日:2020-09-10
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:US10885317B2
公开(公告)日:2021-01-05
申请号:US16225084
申请日:2018-12-19
Applicant: Samsung Electronics Co., Ltd.
Inventor: Byung In Yoo , Youngjun Kwak , Youngsung Kim , Seohyung Lee
Abstract: A facial expression recognition apparatus and method and a facial expression training apparatus and method are provided. The facial expression recognition apparatus generates a speech map indicating a correlation between a speech and each portion of an object based on a speech model, extracts a facial expression feature associated with a facial expression based on a facial expression model, and recognizes a facial expression of the object based on the speech map and the facial expression feature. The facial expression training apparatus trains the speech model and the facial expression model.
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公开(公告)号:US10452976B2
公开(公告)日:2019-10-22
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
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:US12243243B2
公开(公告)日:2025-03-04
申请号:US17668513
申请日:2022-02-10
Inventor: Youngjun Kwak , Taekyung Kim , Changick Kim , Byeongjun Park , Changbeom Park
IPC: G06T7/246 , G06T3/18 , G06T3/4007 , G06T7/55 , G06V20/40
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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公开(公告)号:US12167116B2
公开(公告)日:2024-12-10
申请号:US17958564
申请日:2022-10-03
Applicant: Samsung Electronics Co., Ltd.
Inventor: Byung In Yoo , Youngjun Kwak , Sungyoul Park , Solae Lee , Hana Lee , Jiho Choi
IPC: H04N23/61 , H04N23/69 , H04N23/695
Abstract: A device and method with object recognition is included. In one general aspect, an electronic device includes a camera sensor configured to capture a first image of a scene, the camera sensor is configured to perform at least one type of physical camera motion relative to the electronic device, the at least one type of physical camera motion includes rolling, panning, tilting, or zooming the camera sensor relative to the electronic device, and a processor configured to control the camera sensor to perform a physical motion of the physical camera motion type based on detecting an object in the first image, acquire a second image captured using the camera sensor as adjusted based on the performed physical motion, and recognize the object in the second image.
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公开(公告)号:US12014571B2
公开(公告)日:2024-06-18
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
CPC classification number: G06V40/168 , G06F18/211 , G06F18/251 , G06F18/253 , G06V10/803 , G06V40/193 , G06V40/45 , G06V40/161
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:US11893497B2
公开(公告)日:2024-02-06
申请号:US18127891
申请日:2023-03-29
Applicant: Samsung Electronics Co., Ltd.
Inventor: Chang Kyu Choi , Youngjun Kwak , Seohyung Lee
IPC: G06N3/00 , G06N3/084 , G06T5/00 , G06T5/20 , G06N3/08 , G06N20/00 , G06V10/764 , G06V10/82 , G06V10/44
CPC classification number: G06N3/084 , G06N3/08 , G06N20/00 , G06T5/001 , G06T5/20 , G06V10/451 , G06V10/764 , G06V10/82 , G06F2218/00 , G06T2207/10024 , G06T2207/20084
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:US11783639B2
公开(公告)日:2023-10-10
申请号:US16998172
申请日:2020-08-20
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor: Byungin Yoo , Youngjun Kwak , Jungbae Kim , Jinwoo Son , Changkyo Lee , Chang Kyu Choi , Jaejoon Han
IPC: G06V40/40 , G06V40/16 , G06V40/18 , G06F21/32 , G06Q20/40 , G06V40/12 , G06N3/04 , G06N3/08 , G06V40/14
CPC classification number: G06V40/40 , G06F21/32 , G06N3/04 , G06N3/08 , G06Q20/40145 , G06V40/1382 , G06V40/161 , G06V40/168 , G06V40/172 , G06V40/18 , G06V40/1388 , G06V40/14 , G06V40/193 , G06V40/45
Abstract: A liveness test method and apparatus is disclosed. A processor implemented liveness test method includes extracting an interest region of an object from a portion of the object in an input image, performing a liveness test on the object using a neural network model-based liveness test model, the liveness test model using image information of the interest region as provided first input image information to the liveness test model and determining liveness based at least on extracted texture information from the information of the interest region by the liveness test model, and indicating a result of the liveness test.
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公开(公告)号:US11694480B2
公开(公告)日:2023-07-04
申请号:US17313437
申请日:2021-05-06
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor: Solae Lee , Youngjun Kwak , Sungheon Park , Byung In Yoo , Yong-Il Lee , Hana Lee , Jiho Choi , Jaejoon Han
CPC classification number: G06V40/45 , G06T5/003 , G06T5/20 , G06V10/30 , G06V40/161 , G06T2207/20084 , G06T2207/30201
Abstract: A processor-implemented method with liveness detection includes: receiving a plurality of phase images of different phases; generating a plurality of preprocessed phase images by performing preprocessing, including edge enhancement processing, on the plurality of phase images of different phases; generating a plurality of differential images based on the preprocessed phase images; generating a plurality of low-resolution differential images having lower resolutions than the differential images, based on the differential images; generating a minimum map image based on the low-resolution differential images; and performing a liveness detection on an object in the phase images based on the minimum map image.
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