公开(公告)号：US10121059B2

公开(公告)日：2018-11-06

申请号：US15656350

申请日：2017-07-21

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Byungin Yoo ,  Youngjun Kwak ,  Jungbae Kim ,  Jinwoo Son ,  Changkyo Lee ,  Chang Kyu Choi ,  Jaejoon Han

IPC: G06K9/00 ,  G06N3/04 ,  G06N3/08 ,  G06K9/50

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.

公开(公告)号：US12300038B2

公开(公告)日：2025-05-13

申请号：US18197883

申请日：2023-05-16

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Solae Lee ,  Youngjun Kwak ,  Sungheon Park ,  Byung In Yoo ,  Yong-Il Lee ,  Hana Lee ,  Jiho Choi ,  Jaejoon Han

IPC: G06V40/40 ,  G06T5/20 ,  G06T5/73 ,  G06V10/30 ,  G06V40/16

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.

公开(公告)号：US12112575B2

公开(公告)日：2024-10-08

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

IPC: G06V40/40 ,  G06F18/21 ,  G06F18/25 ,  G06T7/00 ,  G06V10/147 ,  G06V10/50 ,  G06V10/764 ,  G06V10/80 ,  G06V10/82

CPC classification number: G06V40/45 ,  G06F18/21 ,  G06F18/25 ,  G06T7/97 ,  G06V10/147 ,  G06V10/50 ,  G06V10/764 ,  G06V10/809 ,  G06V10/82 ,  G06T2207/20084 ,  G06T2207/20132

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.

公开(公告)号：US11869272B2

公开(公告)日：2024-01-09

申请号：US16899935

申请日：2020-06-12

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Youngjun Kwak ,  Minsu Ko ,  Youngsung Kim ,  Heewon Kim ,  Ju Hwan Song ,  Byung In Yoo ,  Seon Min Rhee ,  Yong-il Lee ,  Jiho Choi ,  Seungju Han

IPC: G06V40/16 ,  G06T7/73 ,  G06F21/32 ,  G06T7/00 ,  G06V10/143 ,  G06V40/40

CPC classification number: G06V40/166 ,  G06F21/32 ,  G06T7/0012 ,  G06T7/73 ,  G06V10/143 ,  G06V40/161 ,  G06V40/168 ,  G06V40/40 ,  G06T2207/10028 ,  G06T2207/10048 ,  G06T2207/30201

Abstract: 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.

公开(公告)号：US11715011B2

公开(公告)日：2023-08-01

申请号：US16567365

申请日：2019-09-11

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Byungin Yoo ,  Youngsung Kim ,  Youngjun Kwak ,  Chang Kyu Choi

IPC: G06N3/084 ,  G06V10/44 ,  G06V20/00 ,  G06F18/00 ,  G06F18/213 ,  G06F18/2413 ,  G06N3/045 ,  G06V10/764 ,  G06V10/82 ,  G06N3/04 ,  G06N3/08

CPC classification number: G06N3/084 ,  G06F18/00 ,  G06F18/213 ,  G06F18/24133 ,  G06N3/04 ,  G06N3/045 ,  G06N3/08 ,  G06V10/454 ,  G06V10/764 ,  G06V10/82 ,  G06V20/00

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.

公开(公告)号：US11544497B2

公开(公告)日：2023-01-03

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

IPC: G06K9/62 ,  G06V10/44 ,  G06V40/16 ,  G06V40/12 ,  G06N3/08 ,  H04L9/40

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.

公开(公告)号：US11189015B2

公开(公告)日：2021-11-30

申请号：US16406088

申请日：2019-05-08

Applicant: Samsung Electronics Co., Ltd.

Inventor： Chang Kyu Choi ,  Youngjun Kwak ,  Seohyung Lee

IPC: G06T5/00 ,  G06T5/20 ,  G06N3/08 ,  G06K9/00 ,  G06N20/00

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.

公开(公告)号：US10860887B2

公开(公告)日：2020-12-08

申请号：US15347143

申请日：2016-11-09

Applicant: Samsung Electronics Co., Ltd.

Inventor： Byungin Yoo ,  Youngjun Kwak ,  Jungbae Kim ,  Seon Min Rhee ,  Seungju Han ,  Jaejoon Han ,  Wonjun Hwang

IPC: G06K9/62 ,  G06K9/46 ,  G06K9/00 ,  G06N3/08 ,  H04L29/06

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.

公开(公告)号：US12211311B2

公开(公告)日：2025-01-28

申请号：US17106807

申请日：2020-11-30

Applicant: Samsung Electronics Co., Ltd.

Inventor： Sungheon Park ,  Youngjun Kwak ,  Byungin Yoo ,  Solae Lee ,  Yong-Il Lee ,  Hana Lee ,  Jiho Choi

IPC: G06V40/16 ,  G06F18/21 ,  G06F18/24 ,  G06N3/08 ,  G06T7/70 ,  G06V10/44 ,  G06V10/82

Abstract: Disclosed is an object recognition method and object recognition apparatus. The object recognition method may include detecting an object region comprising an object in an input image, determining scores corresponding to regions of the object region, determining weights based on the scores and detection information of the object region, determining a final score based on the scores and the determined weights, and determining a result of recognizing the object based on the final score.

公开(公告)号：US11971924B2

公开(公告)日：2024-04-30

申请号：US17508001

申请日：2021-10-22

Applicant: Samsung Electronics Co., Ltd.

Inventor： Youngjun Kwak ,  Byung In Yoo ,  Youngsung Kim ,  Chang Kyu Choi ,  Jaejoon Han

IPC: G06K9/00 ,  G06F16/00 ,  G06F16/583 ,  G06F18/22 ,  G06F18/2413 ,  G06F21/32 ,  G06F21/62 ,  G06N3/02 ,  G06V10/44 ,  G06V10/764 ,  G06V10/82 ,  G06V40/16 ,  G06V40/40 ,  G06V40/50 ,  G06N3/045 ,  G06T7/60 ,  G06T7/70

CPC classification number: G06F16/583 ,  G06F16/00 ,  G06F18/22 ,  G06F18/24137 ,  G06F21/32 ,  G06F21/6218 ,  G06N3/02 ,  G06V10/454 ,  G06V10/764 ,  G06V10/82 ,  G06V40/161 ,  G06V40/168 ,  G06V40/45 ,  G06V40/50 ,  G06N3/045 ,  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.