公开(公告)号：US11915119B2

公开(公告)日：2024-02-27

申请号：US15848298

申请日：2017-12-20

Applicant: Samsung Electronics Co., Ltd.

Inventor： Changyong Son ,  Jinwoo Son ,  Chang Kyu Choi ,  Jaejoon Han

IPC: G06N3/08 ,  G06N3/044 ,  G06N3/045 ,  G06N3/063

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：US11823351B2

公开(公告)日：2023-11-21

申请号：US17356801

申请日：2021-06-24

Applicant: Samsung Electronics Co., Ltd.

Inventor： Jihye Kim ,  Seon Min Rhee ,  Jongseok Kim ,  Heewon Kim ,  Seungju Han ,  Jaejoon Han

IPC: G06T5/00 ,  G06T5/50 ,  G06K9/46 ,  G06V10/40

CPC classification number: G06T5/001 ,  G06T5/50 ,  G06V10/40 ,  G06T2207/10028 ,  G06T2207/10048 ,  G06T2207/20081 ,  G06T2207/20084

Abstract: An image processing method includes receiving an input image and a guide image corresponding to the input image, extracting informative features from the input image and the guide image to enhance the input image, selectively obtaining a first feature for the input image from among the informative features, and processing the input image based on the first feature.

公开(公告)号：US11790494B2

公开(公告)日：2023-10-17

申请号：US17540307

申请日：2021-12-02

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Seungju Han ,  Minsu Ko ,  Jaejoon Han ,  Chang Kyu Choi

IPC: G06K9/00 ,  G06T5/00 ,  G06T7/73 ,  G06T5/50 ,  G06V40/16

CPC classification number: G06T5/005 ,  G06T5/50 ,  G06T7/73 ,  G06V40/165 ,  G06V40/171 ,  G06V40/172 ,  G06T2207/10012 ,  G06T2207/20216 ,  G06T2207/20221 ,  G06T2207/30201

Abstract: A three-dimensional (3D) image-based facial verification method and apparatus is provided. The facial verification method may include capturing a facial image of a 3D face of a user, determining an occluded region in the captured facial image by comparing the captured facial image and an average facial image, generating a synthetic image by synthesizing the captured facial image and the average facial image based on the occluded region, and verifying the user based on the synthetic image.

公开(公告)号：US11783639B2

公开(公告)日：2023-10-10

申请号：US16998172

申请日：2020-08-20

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Byungin Yoo ,  Youngjun Kwak ,  Jungbae Kim ,  Jinwoo Son ,  Changkyo Lee ,  Chang Kyu Choi ,  Jaejoon Han

IPC: G06V40/40 ,  G06V40/16 ,  G06V40/18 ,  G06F21/32 ,  G06Q20/40 ,  G06V40/12 ,  G06N3/04 ,  G06N3/08 ,  G06V40/14

CPC classification number: G06V40/40 ,  G06F21/32 ,  G06N3/04 ,  G06N3/08 ,  G06Q20/40145 ,  G06V40/1382 ,  G06V40/161 ,  G06V40/168 ,  G06V40/172 ,  G06V40/18 ,  G06V40/1388 ,  G06V40/14 ,  G06V40/193 ,  G06V40/45

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：US11727720B2

公开(公告)日：2023-08-15

申请号：US17677275

申请日：2022-02-22

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 ,  G06F18/22 ,  G06V10/761 ,  G06V40/161 ,  G06V40/171 ,  G06V40/172 ,  G06V40/174 ,  G06V40/45

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：US11699239B2

公开(公告)日：2023-07-11

申请号：US17228760

申请日：2021-04-13

Applicant: The Board of Trustees of the University of Illinois (Urbana, IL) ,  SAMSUNG ELECTRONICS CO., LTD.

Inventor： Alexander Schwing ,  Colin Graber ,  Raymond Yeh ,  Jihye Kim ,  Jaejoon Han

IPC: G06T7/215 ,  G06T7/73 ,  G06N3/08 ,  G06T7/246 ,  B60W30/095 ,  G06V20/10 ,  G06V20/58 ,  G06V40/20 ,  G06V40/10

CPC classification number: G06T7/215 ,  B60W30/0956 ,  G06N3/08 ,  G06T7/246 ,  G06T7/73 ,  G06V20/10 ,  G06V20/58 ,  G06V40/103 ,  G06V40/23 ,  G06T2207/30241

Abstract: An image processing method includes defining relations between entities of a target of which a motion is to be predicted from an image of a first time point based on a feature vector of the entities, estimating a dynamic interaction between the entities at the first time point based on the defined relations between the entities, predicting a motion of the entities changing at a second time point based on the estimated dynamic interaction, and outputting a result to which the motion predicted at the second time point is applied.

公开(公告)号：US11694480B2

公开(公告)日：2023-07-04

申请号：US17313437

申请日：2021-05-06

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Solae Lee ,  Youngjun Kwak ,  Sungheon Park ,  Byung In Yoo ,  Yong-Il Lee ,  Hana Lee ,  Jiho Choi ,  Jaejoon Han

IPC: G06V40/40 ,  G06V10/30 ,  G06V40/16 ,  G06T5/00 ,  G06T5/20

CPC classification number: G06V40/45 ,  G06T5/003 ,  G06T5/20 ,  G06V10/30 ,  G06V40/161 ,  G06T2207/20084 ,  G06T2207/30201

Abstract: A processor-implemented method with liveness detection includes: receiving a plurality of phase images of different phases; generating a plurality of preprocessed phase images by performing preprocessing, including edge enhancement processing, on the plurality of phase images of different phases; generating a plurality of differential images based on the preprocessed phase images; generating a plurality of low-resolution differential images having lower resolutions than the differential images, based on the differential images; generating a minimum map image based on the low-resolution differential images; and performing a liveness detection on an object in the phase images based on the minimum map image.

公开(公告)号：US11537698B2

公开(公告)日：2022-12-27

申请号：US16860267

申请日：2020-04-28

Applicant: Samsung Electronics Co., Ltd.

Inventor： Jungbae Kim ,  Seon Min Rhee ,  Jaejoon Han

IPC: G06F21/00 ,  G06F21/32 ,  G06F16/23 ,  G06F16/51 ,  G06K9/62 ,  G07C9/37 ,  G06V10/46 ,  G06V40/50 ,  G06V40/70 ,  G06V40/16 ,  G06V40/12 ,  G06F21/45 ,  G06F21/36 ,  H04L9/40

Abstract: A method of adaptively updating an enrollment database is disclosed. The method may include extracting a first feature vector from an input image, the input image including a face of a user, determining whether to enroll the input image in the enrollment database based on the first feature vector, second feature vectors of enrollment images and a representative vector, the second feature vectors of the enrollment images being enrolled in the enrollment database, and the representative vector representing the second feature vectors, and enrolling the input image in the enrollment database based on a result of the determining.

公开(公告)号：US11514290B2

公开(公告)日：2022-11-29

申请号：US15836988

申请日：2017-12-11

Applicant: Samsung Electronics Co., Ltd.

Inventor： Jinwoo Son ,  Changyong Son ,  Jaejoon Han ,  Chang Kyu Choi

IPC: G06N3/04 ,  G06N3/08 ,  G06N3/063

Abstract: Disclosed is a convolutional neural network (CNN) processing apparatus and method, the apparatus configured to determine a loading space unit for at least one loading space in an input based on a height or a width for an input feature map of the input and an extent of a dimension of a kernel feature map, load target input elements corresponding to a target loading space, among the at least one loading space, from a memory and store the target input elements in an allocated input buffer having a size corresponding to the loading space unit, and perform a convolution operation between the target input elements stored in the input buffer and at least one kernel element of a kernel.

公开(公告)号：US11508075B2

公开(公告)日：2022-11-22

申请号：US17027756

申请日：2020-09-22

Applicant: Samsung Electronics Co., Ltd.

Inventor： Sung Kwang Cho ,  Changbeom Park ,  Byung In Yoo ,  Hyunjeong Lee ,  Jaejoon Han

IPC: G06T7/246 ,  G06T7/73 ,  G06T7/11 ,  G06K9/62 ,  G06N3/04 ,  G06T7/174

Abstract: Disclosed are target tracking methods and apparatuses. The target tracking apparatus performs target tracking on an input image obtained in a first time period within a single time frame, using a light neural network in a second time period of the single time frame. The target tracking apparatus may perform target tracking on input images generated within the same time frame.