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：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：US10891468B2

公开(公告)日：2021-01-12

申请号：US16168177

申请日：2018-10-23

Applicant: Samsung Electronics Co., Ltd.

Inventor： Youngsung Kim ,  Chang Kyu Choi ,  Byungln Yoo

IPC: G06K9/00 ,  G06N3/08 ,  G06N3/04 ,  G06K9/62 ,  G06F3/01

Abstract: 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.

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.

公开(公告)号：US11682240B2

公开(公告)日：2023-06-20

申请号：US17468995

申请日：2021-09-08

Applicant: Samsung Electronics Co., Ltd.

Inventor： Byungin Yoo ,  Jingtao Xu ,  Chao Zhang ,  Hao Feng ,  Yanhu Shan ,  Youngjun Kwak ,  Youngsung Kim ,  Wonsuk Chang ,  Jaejoon Han

IPC: G06V40/40 ,  G06V40/16

CPC classification number: G06V40/45 ,  G06V40/161 ,  G06V40/169 ,  G06V40/172

Abstract: A liveness test method and apparatus is disclosed. The liveness test method includes detecting a face region in an input image for a test target, implementing a first liveness test to determine a first liveness value based on a first image corresponding to the detected face region, implementing a second liveness test to determine a second liveness value based on a second image corresponding to a partial face region of the detected face region, implementing a third liveness test to determine a third liveness value based on an entirety of the input image or a full region of the input image that includes the detected face region and a region beyond the detected face region, and determining a result of the liveness test based on the first liveness value, the second liveness value, and the third liveness value.

公开(公告)号：US11295111B2

公开(公告)日：2022-04-05

申请号：US16860724

申请日：2020-04-28

Applicant: Samsung Electronics Co., Ltd.

Inventor： Wonjun Kim ,  Youngsung Kim ,  Sungjoo Suh ,  Hyungsuk Kim ,  Chang Kyu Choi

IPC: G06K9/00

Abstract: 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.

公开(公告)号：US11176392B2

公开(公告)日：2021-11-16

申请号：US15886875

申请日：2018-02-02

Applicant: Samsung Electronics Co., Ltd.

Inventor： Byungin Yoo ,  Jingtao Xu ,  Chao Zhang ,  Hao Feng ,  Yanhu Shan ,  Youngjun Kwak ,  Youngsung Kim ,  Wonsuk Chang ,  Jaejoon Han

IPC: G06K9/00

Abstract: A liveness test method and apparatus is disclosed. The liveness test method includes detecting a face region in an input image for a test target, implementing a first liveness test to determine a first liveness value based on a first image corresponding to the detected face region, implementing a second liveness test to determine a second liveness value based on a second image corresponding to a partial face region of the detected face region, implementing a third liveness test to determine a third liveness value based on an entirety of the input image or a full region of the input image that includes the detected face region and a region beyond the detected face region, and determining a result of the liveness test based on the first liveness value, the second liveness value, and the third liveness value.

公开(公告)号：US10528846B2

公开(公告)日：2020-01-07

申请号：US15795677

申请日：2017-10-27

Applicant: Samsung Electronics Co., Ltd.

Inventor： Youngsung Kim ,  Byungin Yoo ,  Deheng Qian ,  Hui Zhang ,  Chang Kyu Choi ,  He Zheng ,  Jae-Joon Han ,  Jingtao Xu ,  Tianchu Guo

IPC: G06K9/62 ,  G06K9/00 ,  G06K9/66

Abstract: A method to analyze a facial image includes: inputting a facial image to a residual network including residual blocks that are sequentially combined and arranged in a direction from an input to an output; processing the facial image using the residual network; and acquiring an analysis map from an output of an N-th residual block among the residual blocks using a residual deconvolution network, wherein the residual network transfers the output of the N-th residual block to the residual deconvolution network, and N is a natural number that is less than a number of all of the residual blocks, and wherein the residual deconvolution network includes residual deconvolution blocks that are sequentially combined, and the residual deconvolution blocks correspond to respective residual blocks from a first residual block among the residual blocks to the N-th residual block.

公开(公告)号：US10387716B2

公开(公告)日：2019-08-20

申请号：US15467396

申请日：2017-03-23

Applicant: Samsung Electronics Co., Ltd.

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

IPC: G06K9/00

Abstract: A method and apparatus for recognizing a facial expression is provided. The method of recognizing the facial expression includes extracting a feature from an input image, extracting a feature from a reference image, and recognizing a user facial expression based on a difference between the feature of the input image and the feature of the reference image.