公开(公告)号：US20220318376A1

公开(公告)日：2022-10-06

申请号：US17552597

申请日：2021-12-16

Applicant: Samsung Electronics Co., Ltd.

Inventor： Sung-Jae CHO ,  Kyuhong KIM ,  Sungun PARK ,  Jiwhan KIM ,  Jaejoon HAN

IPC: G06F21/55 ,  G06N3/04 ,  G06N7/00

Abstract: A method with biometric information spoof detection includes extracting an embedding vector from an intermediate layer of a neural network configured to detect whether biometric information of a user is spoofed from an image including the biometric information; detecting first information regarding whether the biometric information is spoofed, based on the embedding vector; and detecting second information regarding whether the biometric information is spoofed based on whether the first information is detected, using an output vector output from an output layer of the neural network.

公开(公告)号：US20220092394A1

公开(公告)日：2022-03-24

申请号：US17245144

申请日：2021-04-30

Applicant: SAMSUNG ELECTRONICS CO., LTD

Inventor： Dongwook LEE ,  Changyong SON ,  Jinwoo SON ,  Jaehyoung YOO ,  Jaejoon HAN

IPC: G06N3/063 ,  G06F9/50 ,  G06F9/54

Abstract: Provided is a method and apparatus with neural network operation. The method includes generating a first intermediate operation result by performing a first-order partial operation of a neural network layer on a first input line of a first area of a frame, generating a second intermediate operation result by performing another first-order partial operation of the neural network layer on a second input line of the first area, and generating an objective operation result of the neural network layer with respect to the first area based on a second-order partial operation performed on the first intermediate operation result and the second intermediate operation result.

公开(公告)号：US20220058377A1

公开(公告)日：2022-02-24

申请号：US17208048

申请日：2021-03-22

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Jiwon BAEK ,  Seong-Jin PARK ,  Seungju HAN ,  Insoo KIM ,  Jaejoon HAN

IPC: G06K9/00 ,  G06T9/00 ,  G06K9/62 ,  G06T7/73 ,  G06T3/60 ,  G06T3/40 ,  G06N3/04 ,  G06N3/08

Abstract: A processor-implemented facial image generating method includes: determining a first feature vector associated with a pose and a second feature vector associated with an identity by encoding an input image including a face; determining a flipped first feature vector by flipping the first feature vector with respect to an axis in a corresponding space; determining an assistant feature vector based on the flipped first feature vector and rotation information corresponding to the input image; determining a final feature vector based on the first feature vector and the assistant feature vector; and generating an output image including a rotated face by decoding the final feature vector and the second feature vector based on the rotation information.

公开(公告)号：US20210406569A1

公开(公告)日：2021-12-30

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: 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：US20210225018A1

公开(公告)日：2021-07-22

申请号：US17146752

申请日：2021-01-12

Applicant: Samsung Electronics Co., Ltd.

Inventor： Jiaqian YU ,  Jingtao XU ,  Yiwei CHEN ,  Byung In YOO ,  Chang Kyu CHOI ,  Hana LEE ,  Jaejoon HAN ,  Qiang WANG

IPC: G06T7/50 ,  H01L27/146

Abstract: A depth estimation method and apparatus are provided. The depth estimation method includes obtaining an image from an image sensor comprising upper pixels, each comprising N sub-pixels, obtaining N sub-images respectively corresponding to the N sub-pixels from the image, obtaining a viewpoint difference between the N sub-images using a first neural network, and obtaining a depth map of the image based on the viewpoint difference using a second neural network.

公开(公告)号：US20210224564A1

公开(公告)日：2021-07-22

申请号：US17146809

申请日：2021-01-12

Applicant: Samsung Electronics Co., Ltd.

Inventor： Jingtao XU ,  Jiaqian YU ,  Byung In YOO ,  Chang Kyu CHOI ,  Hyunjeong LEE ,  Hangkai TAN ,  Jaejoon HAN ,  Qiang WANG ,  Yiwei CHEN

IPC: G06K9/20 ,  G06T7/73 ,  G06K9/46 ,  G06K9/62

Abstract: Disclosed is a target tracking method and apparatus. The target tracking apparatus includes a processor configured to obtain a first depth feature from a target region image and obtain a second depth feature from a search region image, obtain a global response diagram between the first depth feature and the second depth feature, acquire temporary bounding box information based on the global response diagram, updated the second depth feature based on the temporary bounding box information, obtain local feature blocks based on the first depth feature, obtain a local response diagram based on the local feature blocks and the updated second depth feature, and determine output bounding box information based on the local response diagram.

公开(公告)号：US20210224511A1

公开(公告)日：2021-07-22

申请号：US17153018

申请日：2021-01-20

Applicant: Samsung Electronics Co., Ltd.

Inventor： Tianchu GUO ,  Hui ZHANG ,  Xiabing LIU ,  ByungIn YOO ,  ChangKyu CHOI ,  Jaejoon HAN ,  YoungJun KWAK ,  Yongchao LIU

IPC: G06K9/00 ,  G06N3/08 ,  G06T3/00 ,  G06T5/50

Abstract: An image processing method and apparatus using a neural network are provided. The image processing method includes generating a plurality of augmented features by augmenting an input feature, and generating a prediction result based on the plurality of augmented features.

公开(公告)号：US20210209726A1

公开(公告)日：2021-07-08

申请号：US17201467

申请日：2021-03-15

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Seungju HAN ,  Minsu KO ,  Changyong SON ,  Jaejoon HAN

IPC: G06T3/00 ,  G06K9/00 ,  G06T5/50 ,  G06T7/174 ,  G06T7/11 ,  G06T7/194

Abstract: A processor-implemented image normalization method includes extracting a first object patch from a first input image and extracting a second object patch from a second input image based on an object area that includes an object detected from any one or any combination of the first input image and the second input image, determining, based on a first landmark detected from the first object patch, a second landmark of the second object patch; and normalizing the first object patch and the second object patch based on the first landmark and the second landmark.

公开(公告)号：US20210064923A1

公开(公告)日：2021-03-04

申请号：US16914671

申请日：2020-06-29

Applicant: Samsung Electronics Co., Ltd.

Inventor： Dohwan LEE ,  Kyuhong KIM ,  Jaejoon HAN

IPC: G06K9/62 ,  G06N3/08

Abstract: An on-device training-based user recognition method includes performing on-device training on a feature extractor based on reference data corresponding to generalized users and user data, determining a registration feature vector based on an output from the feature extractor in response to the input of the user data, determining a test feature vector based on an output from the feature extractor in response to an input of test data, and performing user recognition on a test user based on a result of comparing the registration feature vector to the test feature vector.

公开(公告)号：US20200074058A1

公开(公告)日：2020-03-05

申请号：US16527332

申请日：2019-07-31

Applicant: Samsung Electronics Co., Ltd.

Inventor： Jinwoo SON ,  Changyong SON ,  Jaejoon HAN ,  Sangil JUNG ,  Seohyung LEE

IPC: G06F21/32 ,  G06N3/08 ,  G06N3/04

Abstract: Disclosed is a method and apparatus for training a user terminal. A user terminal may authenticate a user input using an authentication model of the user terminal, generate a gradient to train the authentication model from the user input, in response to a success in the authentication, accumulate the generated gradient in positive gradients, and train the authentication model based on the positive gradients.