公开(公告)号：US10679083B2

公开(公告)日：2020-06-09

申请号：US15921740

申请日：2018-03-15

Applicant: Samsung Electronics Co., Ltd.

Inventor： Jingtao Xu ,  ByungIn Yoo ,  Jae-Joon Han ,  Chao Zhang ,  Hao Feng ,  Yanhu Shan ,  Yaozu An ,  Changkyu Choi

IPC: G06K9/00

Abstract: Disclosed is a liveness test method and apparatus. A liveness test apparatus determines a pre-liveness score based on a plurality of sub-images acquired from an input image, determines a post-liveness score based on a recognition model for recognizing an object included in the input image, and determines a liveness of the object based on any one or any combination of the pre-liveness score and the post-liveness score.

公开(公告)号：US10991120B2

公开(公告)日：2021-04-27

申请号：US16191102

申请日：2018-11-14

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Hui Zhang ,  ByungIn Yoo ,  Deheng Qian

IPC: G06T7/73 ,  G06K9/62 ,  G06K9/46 ,  G06K9/68 ,  G06T11/60

Abstract: A processor-implemented method includes acquiring, by a processor, a first undirected graph and a second undirected graph, generating, by the processor, a first lattice for the first undirected graph and a second lattice for the second undirected graph; matching, by the processor, the first lattice and the second lattice based on a first global structure of the first lattice and a second global structure of the second lattice, the first global structure corresponding to nodes of the first undirected graph and the second global structure corresponding to nodes of the second undirected graph, and processing the first undirected graph and the second undirected graph based on a result of the matching of the first lattice and the second lattice.

公开(公告)号：US12014529B2

公开(公告)日：2024-06-18

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: G06V10/40 ,  G06N3/08 ,  G06T3/10 ,  G06T5/50 ,  G06V10/80 ,  G06V10/82 ,  G06V40/16 ,  G06V40/18

CPC classification number: G06V10/40 ,  G06N3/08 ,  G06T3/10 ,  G06T5/50 ,  G06V10/809 ,  G06V10/82 ,  G06V40/168 ,  G06V40/193

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：US11138455B2

公开(公告)日：2021-10-05

申请号：US16861497

申请日：2020-04-29

Applicant: Samsung Electronics Co., Ltd.

Inventor： Jingtao Xu ,  ByungIn Yoo ,  Jae-Joon Han ,  Chao Zhang ,  Hao Feng ,  Yanhu Shan ,  Yaozu An ,  Changkyu Choi

IPC: G06K9/00

Abstract: Disclosed is a liveness test method and apparatus. A liveness test apparatus determines a pre-liveness score based on a plurality of sub-images acquired from an input image, determines a post-liveness score based on a recognition model for recognizing an object included in the input image, and determines a liveness of the object based on any one or any combination of the pre-liveness score and the post-liveness score.

公开(公告)号：US10726244B2

公开(公告)日：2020-07-28

申请号：US15833224

申请日：2017-12-06

Applicant: Samsung Electronics Co., Ltd.

Inventor： Jingtao Xu ,  Biao Wang ,  Yaozu An ,  ByungIn Yoo ,  Changkyu Choi ,  Deheng Qian ,  Jae-Joon Han

IPC: G06K9/00 ,  G06K9/46 ,  G06N3/08 ,  G06K9/66 ,  G06K9/03 ,  G06N3/04

Abstract: A method of detecting a target includes determining a quality type of a target image captured using a camera, determining a convolutional neural network of a quality type corresponding to the quality type of the target image in a database comprising convolutional neural networks, determining a detection value of the target image based on the convolutional neural network of the corresponding quality type, and determining whether a target in the target image is a true target based on the detection value of the target image.