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

IPC: G06V40/40 ,  G06V10/30 ,  G06V40/16 ,  G06T5/00 ,  G06T5/20

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.

公开(公告)号：US11475312B2

公开(公告)日：2022-10-18

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

IPC: G06N3/08 ,  G06N3/04

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.

公开(公告)号：US11354535B2

公开(公告)日：2022-06-07

申请号：US16856221

申请日：2020-04-23

Applicant: Samsung Electronics Co., Ltd.

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

IPC: G06K9/62 ,  G06N3/08 ,  G06V10/25 ,  G06V20/80

Abstract: A method with image recognition includes: extracting, using a feature extraction layer, feature data from an input image received by an image sensor; and outputting a recognition result of an object appearing in the input image, by applying a fixed mask and a variable mask to the extracted feature data, wherein the variable mask is adjusted in response to the extracted feature data.

公开(公告)号：US11347308B2

公开(公告)日：2022-05-31

申请号：US16937722

申请日：2020-07-24

Applicant: Samsung Electronics Co., Ltd.

Inventor： Yongchao Liu ,  Hui Zhang ,  Xiabing Liu ,  Byung In Yoo ,  Chang Kyu Choi ,  Jaejoon Han ,  Youngjun Kwak ,  Tianchu Guo

IPC: G06F3/01 ,  G06N3/08 ,  G06F3/14 ,  G06K9/62 ,  G06V40/16

Abstract: A gaze tracking method and apparatus, and a gaze tracking neural network training method and apparatus are provided. The gaze tracking apparatus includes one or more processors and a memory, and the one or more processors obtain output position information from an input face image of a user using a neural network model, determines a position adjustment parameter for the user, and predicts gaze position information of the user by adjusting the output position information based on the position adjustment parameter.

公开(公告)号：US11256938B2

公开(公告)日：2022-02-22

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

IPC: G06K9/00 ,  G06T7/521 ,  G06N3/08

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.

公开(公告)号：US11157760B2

公开(公告)日：2021-10-26

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

IPC: G06K9/00 ,  G06K9/62 ,  G06F21/62 ,  G06N3/02 ,  G06K9/46 ,  G06F21/32 ,  G06F16/00 ,  G06T7/60 ,  G06T7/70 ,  G06N3/04

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.

公开(公告)号：US11030470B2

公开(公告)日：2021-06-08

申请号：US16215750

申请日：2018-12-11

Applicant: Samsung Electronics Co., Ltd.

Inventor： Jaejoon Han ,  Youngjun Kwak ,  Byungln Yoo ,  Changkyu Choi

IPC: G06K9/00 ,  G06K9/62 ,  H04N9/04 ,  H04N5/33 ,  G06F21/32 ,  G06N3/08 ,  G06K9/20

Abstract: 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.

公开(公告)号：US10579865B2

公开(公告)日：2020-03-03

申请号：US15896253

申请日：2018-02-14

Applicant: Samsung Electronics Co., Ltd.

Inventor： Byungin Yoo ,  Youngjun Kwak ,  Youngsung Kim ,  JaeJoon Han

IPC: G06K9/00 ,  G06K9/46 ,  G06F21/32 ,  G06K9/62

Abstract: Disclosed is a facial verification apparatus and method. The facial verification apparatus is configured to detect a face area of a user from an obtained input image, generate a plurality of image patches, differently including respective portions of the detected face area, based on a consideration of an image patch set determination criterion with respect to the detected face area, extract a feature value corresponding to a face of the user based on an image patch set including the generated plurality of image patches, determine whether a facial verification is successful based on the extracted feature value, and indicate a result of the determination of whether the facial verification is successful.

公开(公告)号：US10558912B2

公开(公告)日：2020-02-11

申请号：US15595997

申请日：2017-05-16

Applicant: Samsung Electronics Co., Ltd.

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

IPC: G06K9/00 ,  G06N3/08 ,  G06N3/04

Abstract: Provided is a method and apparatus to recognizing an object based on an attribute of the object and training that may calculate object age information from input data using an attribute layer trained with respect to an attribute of an object and a classification layer trained with respect to a classification of the object. The method to recognize the object includes extracting feature data from input data including an object using an object model, determining attribute classification information related to the input data from the feature data using a classification layer, determining attribute age information related to an attribute from the feature data using an attribute layer, and estimating object age information based on the attribute classification information and the attribute age information.