公开(公告)号：US20190034708A1

公开(公告)日：2019-01-31

申请号：US16148587

申请日：2018-10-01

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Byungin YOO ,  Youngjun KWAK ,  Jungbae KIM ,  Jinwoo SON ,  Changkyo LEE ,  Chang Kyu CHOI ,  Jaejoon HAN

IPC: G06K9/00 ,  G06N3/08 ,  G06N3/04 ,  G06K9/50

CPC classification number: G06K9/00288 ,  G06K9/00107 ,  G06K9/00114 ,  G06K9/00228 ,  G06K9/00268 ,  G06K9/00899 ,  G06K9/00906 ,  G06K9/50 ,  G06N3/04 ,  G06N3/08

Abstract: A liveness test method and apparatus is disclosed. A processor implemented liveness test method includes extracting an interest region of an object from a portion of the object in an input image, performing a liveness test on the object using a neural network model-based liveness test model, the liveness test model using image information of the interest region as provided first input image information to the liveness test model and determining liveness based at least on extracted texture information from the information of the interest region by the liveness test model, and indicating a result of the liveness test.

公开(公告)号：US20180285628A1

公开(公告)日：2018-10-04

申请号：US15833292

申请日：2017-12-06

Applicant: Samsung Electronics Co., Ltd.

Inventor： Changyong SON ,  Wonsuk CHANG ,  Deoksang KIM ,  Dae-Kyu SHIN ,  Byungin YOO ,  Seungju HAN ,  Jaejoon HAN ,  Jinwoo SON ,  Chang Kyu CHOI

IPC: G06K9/00 ,  G06K9/78

CPC classification number: G06K9/00281 ,  G06K9/00228 ,  G06K9/00261 ,  G06K9/00288 ,  G06K9/00302 ,  G06K9/00906 ,  G06K9/6215 ,  G06K9/78

Abstract: Disclosed is a face verification method and apparatus. The method including analyzing a current frame of a verification image, determining a current frame state score of the verification image indicating whether the current frame is in a state predetermined as being appropriate for verification, determining whether the current frame state score satisfies a predetermined validity condition, and selectively, based on a result of the determining of whether the current frame state score satisfies the predetermined validity condition, extracting a feature from the current frame and performing verification by comparing a determined similarity between the extracted feature and a registered feature to a set verification threshold.

公开(公告)号：US20180032867A1

公开(公告)日：2018-02-01

申请号：US15655203

申请日：2017-07-20

Applicant: Samsung Electronics Co., Ltd.

Inventor： Changyong SON ,  Jinwoo SON ,  Byungin YOO ,  Chang Kyu CHOI ,  Jae-Joon HAN

IPC: G06N3/08 ,  G06F7/523 ,  G06N3/04 ,  G06F5/01

CPC classification number: G06N3/08 ,  G06F5/01 ,  G06F7/523 ,  G06N3/04 ,  G06N3/063 ,  G06N3/082

Abstract: A lightened neural network, method, and apparatus, and recognition method and apparatus implementing the same. A neural network includes a plurality of layers each comprising neurons and plural synapses connecting neurons included in neighboring layers. Synaptic weights with values greater than zero and less than a preset value of a variable a, which is greater than zero, may be at least partially set to zero. Synaptic weights with values greater than a preset value of a variable b, which is greater than zero, may be at least partially set to the preset value of the variable b.

公开(公告)号：US20240152729A1

公开(公告)日：2024-05-09

申请号：US18413946

申请日：2024-01-16

Applicant: Samsung Electronics Co., Ltd.

Inventor： Changyong SON ,  Jinwoo SON ,  Chang Kyu CHOI ,  Jaejoon HAN

IPC: G06N3/044 ,  G06N3/045 ,  G06N3/08

CPC classification number: G06N3/044 ,  G06N3/045 ,  G06N3/08 ,  G06N3/063

Abstract: A convolutional neural network (CNN) processing method includes selecting a survival network in a precision convolutional network based on a result of performing a high speed convolution operation between an input and a kernel using a high speed convolutional network, and performing a precision convolution operation between the input and the kernel using the survival network.

公开(公告)号：US20230326241A1

公开(公告)日：2023-10-12

申请号：US18333195

申请日：2023-06-12

Applicant: Samsung Electronics Co., Ltd.

Inventor： Changyong SON ,  Wonsuk CHANG ,  Deoksang KIM ,  Dae-Kyu SHIN ,  Byungin YOO ,  Seungju HAN ,  Jaejoon HAN ,  Jinwoo SON ,  Chang Kyu CHOI

IPC: G06V40/16 ,  G06V40/40 ,  G06F18/22 ,  G06V10/74

CPC classification number: G06V40/167 ,  G06V40/171 ,  G06V40/45 ,  G06V40/161 ,  G06V40/172 ,  G06V40/174 ,  G06F18/22 ,  G06V10/761

Abstract: Disclosed is a face verification method and apparatus. A mobile device may include one or more processors configured to obtain one or more images for a user, ascertain whether any of the one or more images correspond to respective user distances, from the user to the mobile device, outside of a threshold range of distances, and selectively, based on a result of the ascertaining, perform verification using a first verification threshold for any of the one or more images ascertained to correspond to the respective user distances that are outside the threshold range of distances, and perform verification using a less strict second verification threshold for any of the one or more images that have been ascertained to not correspond to the respective user distances that are outside the threshold range of distances.

公开(公告)号：US20230282024A1

公开(公告)日：2023-09-07

申请号：US18197265

申请日：2023-05-15

Applicant: Samsung Electronics Co., Ltd.

Inventor： Seohyung LEE ,  Jaehyoung YOO ,  Jinwoo SON ,  Changyong SON ,  Sangil JUNG ,  Changin CHOI

IPC: G06V40/16

CPC classification number: G06V40/161

Abstract: Disclosed is a method and apparatus for face detection using an adaptive threshold. The method includes determining a detection box in an input image, calculating a confidence score indicating whether an object in the detection box corresponds to a face, setting an adaptive threshold based on a size of the detection box, and determining whether the object in the detection box corresponds to a face based on comparing the confidence score to the adaptive threshold.

公开(公告)号：US20230021306A9

公开(公告)日：2023-01-19

申请号：US17574408

申请日：2022-01-12

Applicant: Samsung Electronics Co., Ltd.

Inventor： Changyong SON ,  Jinwoo SON ,  Byungin YOO ,  Chang Kyu CHOI ,  Jae-Joon HAN

IPC: G06N3/08 ,  G06F5/01 ,  G06N3/063 ,  G06F7/523 ,  G06N3/04

Abstract: A lightened neural network method and apparatus. The neural network apparatus includes a processor configured to generate a neural network with a plurality of layers including plural nodes by applying lightened weighted connections between neighboring nodes in neighboring layers of the neural network to interpret input data applied to the neural network, wherein lightened weighted connections of at least one of the plurality of layers includes weighted connections that have values equal to zero for respective non-zero values whose absolute values are less than an absolute value of a non-zero value. The lightened weighted connections also include weighted connections that have values whose absolute values are no greater than an absolute value of another non-zero value, the lightened weighted connections being lightened weighted connections of trained final weighted connections of a trained neural network whose absolute maximum values are greater than the absolute value of the other non-zero value.

公开(公告)号：US20220019895A1

公开(公告)日：2022-01-20

申请号：US17124791

申请日：2020-12-17

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Jinwoo SON ,  Sangil JUNG ,  Changyong SON ,  Dongwook LEE

IPC: G06N3/08 ,  G06N3/10 ,  G06F17/15

Abstract: A processor-implemented neural network method includes: obtaining a first weight kernel of a weight model and pruning information of the first weight kernel; determining, based on the pruning information, a processing range of an input feature map for each weight element vector of the first weight kernel; performing a convolution operation between the input feature map and the first weight kernel based on the determined processing range; and generating an output feature map of a neural network layer based on an operation result of the convolution operation.

公开(公告)号：US20200320280A1

公开(公告)日：2020-10-08

申请号：US16904635

申请日：2020-06-18

Applicant: Samsung Electronics Co., Ltd.

Inventor： Changyong SON ,  Wonsuk CHANG ,  Deoksang KIM ,  Dae-Kyu SHIN ,  Byungin YOO ,  Seungju HAN ,  Jaejoon HAN ,  Jinwoo SON ,  Chang Kyu CHOI

IPC: G06K9/00 ,  G06K9/78 ,  G06K9/62

Abstract: Disclosed is a face verification method and apparatus. The method including analyzing a current frame of a verification image, determining a current frame state score of the verification image indicating whether the current frame is in a state predetermined as being appropriate for verification, determining whether the current frame state score satisfies a predetermined validity condition, and selectively, based on a result of the determining of whether the current frame state score satisfies the predetermined validity condition, extracting a feature from the current frame and performing verification by comparing a determined similarity between the extracted feature and a registered feature to a set verification threshold.

公开(公告)号：US20190188510A1

公开(公告)日：2019-06-20

申请号：US16176440

申请日：2018-10-31

Applicant: Samsung Electronics Co., Ltd.

Inventor： SeungJu HAN ,  SungUn PARK ,  JaeJoon HAN ,  Jinwoo SON ,  ChangYong SON ,  Minsu KO ,  Jihye KIM ,  Chang Kyu CHOI

IPC: G06K9/00

CPC classification number: G06K9/00906 ,  G06K9/00221 ,  G06K9/00288

Abstract: An object recognition apparatus and method are provided. The apparatus includes a processor configured to verify a target image using an object model and based on reference intermediate data extracted by a partial layer of the object model as used in an object recognition of an input image, in response to a failure of a verification of the input image after a success of the object recognition of the input image, and perform an additional verification of the target image in response to the target image being verified in the verifying of the target image.