公开(公告)号：US20200242424A1

公开(公告)日：2020-07-30

申请号：US16849015

申请日：2020-04-15

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Biao WANG ,  Chao ZHANG ,  Changkyu CHOI ,  Deheng QIAN ,  Jae-Joon HAN ,  Jingtao XU ,  Hao FENG

IPC: G06K9/66 ,  G06N3/04 ,  G06N3/08 ,  G06K9/62 ,  G06K9/42

Abstract: A method of detecting a target includes generating an image pyramid based on an image on which a detection is to be performed; classifying candidate areas in the image pyramid using a cascade neural network; and determining a target area corresponding to a target included in the image based on the plurality of candidate areas, wherein the cascade neural network includes a plurality of neural networks, and at least one neural network among the neural networks includes parallel sub-neural networks.

公开(公告)号：US20190251380A1

公开(公告)日：2019-08-15

申请号：US16268792

申请日：2019-02-06

Applicant: Samsung Electronics Co., Ltd.

Inventor： SungUn PARK ,  Hyeongwook YANG ,  Tushar Balasaheb SANDHAN ,  Jiaqian YU ,  Jingtao XU ,  Youngjun KWAK ,  Juwoan YOO ,  Jae Joon HAN

IPC: G06K9/00 ,  G06K9/62

CPC classification number: G06K9/00906 ,  G06K9/00228 ,  G06K9/00268 ,  G06K9/0061 ,  G06K9/6202 ,  G06K9/6228 ,  G06K9/6289 ,  G06K9/629 ,  G06K2009/6213

Abstract: Provided is a liveness verification method and device. A liveness verification device acquires a first image and a second image, and select one or more liveness models based on respective analyses of the first image and the second image, including analyses based on an object part being detected in the first image and/or the second image, and to verify, using the selected one or more liveness models, a liveness of the object based on the first image and/or the second image. The first image may be a color image and the second image may be an Infrared image.

公开(公告)号：US20180157938A1

公开(公告)日：2018-06-07

申请号：US15825951

申请日：2017-11-29

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Biao WANG ,  Chao ZHANG ,  Changkyu CHOI ,  Deheng QIAN ,  Jae-Joon HAN ,  Jingtao XU ,  Hao FENG

IPC: G06K9/66 ,  G06N3/04 ,  G06N3/08 ,  G06K9/62 ,  G06K9/42

CPC classification number: G06K9/66 ,  G06K9/42 ,  G06K9/6282 ,  G06N3/04 ,  G06N3/0445 ,  G06N3/0454 ,  G06N3/0472 ,  G06N3/08 ,  G06N3/084

Abstract: A method of detecting a target includes generating an image pyramid based on an image on which a detection is to be performed; classifying candidate areas in the image pyramid using a cascade neural network; and determining a target area corresponding to a target included in the image based on the plurality of candidate areas, wherein the cascade neural network includes a plurality of neural networks, and at least one neural network among the neural networks includes parallel sub-neural networks.

公开(公告)号：US20180157899A1

公开(公告)日：2018-06-07

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 ,  G06K9/03 ,  G06K9/66 ,  G06N3/08

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.