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：US20170193272A1

公开(公告)日：2017-07-06

申请号：US15293452

申请日：2016-10-14

Applicant: Samsung Electronics Co., Ltd.

Inventor： Youngsung KIM ,  Kyuhong KIM ,  Hyungsuk KIM ,  Sungjoo SUH ,  Chang Kyu CHOI

IPC: G06K9/00

CPC classification number: G06K9/00087 ,  G06F21/32 ,  G06K9/00013 ,  G06K9/00067 ,  G06K9/036

Abstract: Authentication methods and apparatuses are disclosed. An authentication method may include generating a quality profile of an authentication image, and determining an effective region in the authentication image based on the generated quality profile.

公开(公告)号：US20170004351A1

公开(公告)日：2017-01-05

申请号：US15076839

申请日：2016-03-22

Applicant: Samsung Electronics Co., Ltd.

Inventor： Wonjun KIM ,  Youngsung KIM ,  Sungjoo SUH ,  Hyungsuk KIM ,  Chang Kyu CHOI

IPC: G06K9/00

Abstract: An apparatus and method for detecting a fake fingerprint is disclosed. The apparatus may divide an input fingerprint image into blocks, determine an image quality assessment (IQA) value associated with each block, determine a confidence value based on the IQA values using a confidence determination model, and determine whether an input fingerprint in the input fingerprint image is a fake fingerprint based on the determined confidence value.

Abstract translation: 公开了一种用于检测假指纹的装置和方法。 该装置可以将输入指纹图像划分为块，确定与每个块相关联的图像质量评估（IQA）值，使用置信度确定模型基于IQA值确定置信度值，并确定输入指纹中的输入指纹 图像是基于确定的置信度值的假指纹。

公开(公告)号：US20160171346A1

公开(公告)日：2016-06-16

申请号：US14958030

申请日：2015-12-03

Applicant: Samsung Electronics Co., Ltd.

Inventor： Seungju HAN ,  Sungjoo SUH ,  Jaejoon HAN ,  Chang Kyu CHOI

IPC: G06K9/66 ,  G06K9/62 ,  G06K9/48 ,  G06K9/00 ,  G06K9/46

CPC classification number: G06K9/66 ,  G06K9/00275 ,  G06K9/00288 ,  G06K9/00624 ,  G06K9/4604 ,  G06K9/4628 ,  G06K9/48 ,  G06K9/6202 ,  G06K9/627 ,  G06N3/0454 ,  G06N3/084

Abstract: A method of recognizing a feature of an image may include receiving an input image including an object; extracting first feature information using a first layer of a neural network, the first feature information indicating a first feature corresponding to the input image among a plurality of first features; extracting second feature information using a second layer of the neural network, the second feature information indicating a second feature among a plurality of second features, the indicated second feature corresponding to the first feature information; and recognizing an element corresponding to the object based on the first feature information and the second feature information.

Abstract translation: 识别图像的特征的方法可以包括接收包括对象的输入图像; 使用神经网络的第一层提取第一特征信息，所述第一特征信息指示与多个第一特征中的输入图像相对应的第一特征; 使用所述神经网络的第二层提取第二特征信息，所述第二特征信息指示多个第二特征中的第二特征，所述第二特征对应于所述第一特征信息; 以及基于所述第一特征信息和所述第二特征信息来识别与所述对象相对应的元素。

公开(公告)号：US20160078628A1

公开(公告)日：2016-03-17

申请号：US14949174

申请日：2015-11-23

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Sung Joo SUH ,  Kwon Ju YI ,  Chang Kyu CHOI ,  Du Sik PARK

IPC: G06T7/00 ,  G01B11/22

CPC classification number: G06T7/74 ,  G01B11/026 ,  G01B11/22 ,  G06F3/0325 ,  G06F3/0425 ,  G06T7/571 ,  G06T2207/10024 ,  G06T2207/10028 ,  G06T2207/20024 ,  G06T2207/20228 ,  H04N5/2226

Abstract: A display apparatus and method may be used to estimate a depth distance from an external object to a display panel of the display apparatus. The display apparatus may acquire a plurality of images by detecting lights that are input from an external object and passed through apertures formed in a display panel, may generate one or more refocused images, and may calculate a depth from the external object to the display panel using the plurality of images acquired and one or more refocused images.

公开(公告)号：US20140232635A1

公开(公告)日：2014-08-21

申请号：US14103371

申请日：2013-12-11

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Kyoobin LEE ,  Hyun Surk RYU ,  Keun Joo PARK ,  Joon Ah PARK ,  Chang Kyu CHOI

IPC: G06F3/01 ,  G09G5/12

CPC classification number: G06F3/017 ,  G06F3/0304 ,  G06F3/0346 ,  G06F3/03547 ,  H04M1/7253 ,  H04M2250/64

Abstract: A mobile device configured for data transmission to a corresponding mobile device is provided. The mobile device may include a gesture input unit configured to receive a gesture, a gesture determination unit configured to determine whether the gesture corresponds to a preset gesture associated with a command to perform data transmission to the corresponding mobile device, and a data communication unit configured to transmit a data transmission request to the corresponding mobile device based on a result of the determination, configured to receive, from the corresponding mobile device, an acceptance signal indicating an input of an acceptance gesture at the corresponding mobile device, and configured to transmit data to the corresponding mobile device in response to receiving the acceptance signal.

Abstract translation: 提供了配置用于向相应的移动设备的数据传输的移动设备。 移动设备可以包括被配置为接收手势的手势输入单元，配置为确定手势是否对应于与执行到相应的移动设备的数据传输的命令相关联的预设手势的手势输入单元，以及配置 基于所述确定的结果向相应的移动设备发送数据传输请求，所述结果被配置为从相应的移动设备接收指示对应移动设备的接受手势的输入的接收信号，并且被配置为发送数据 响应于接收到接收信号而发送到相应的移动设备。

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：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：US20230015107A1

公开(公告)日：2023-01-19

申请号：US17947366

申请日：2022-09-19

Applicant: Samsung Electronics Co., Ltd.

Inventor： Minsu KO ,  Seungju HAN ,  Jaejoon HAN ,  Jihye KIM ,  SungUn PARK ,  Chang Kyu CHOI

IPC: G06T5/50 ,  G06T5/00 ,  G06V40/16 ,  G06T3/00 ,  G06T7/00

Abstract: Disclosed is an image fusion method and apparatus. The fusion method includes detecting first feature points of an object in a first image frame from the first image frame; transforming the first image frame based on the detected first feature points and predefined reference points to generate a transformed first image frame; detecting second feature points of the object in a second image frame from the second image frame; transforming the second image frame based on the detected second feature points and the predefined reference points to generate a transformed second image frame; and generating a combined image by combining the transformed first image frame and the transformed second image frame.