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公开(公告)号：US20220027668A1
公开(公告)日：2022-01-27
申请号：US17340134
申请日：2021-06-07
Inventor： Seon Min RHEE , Jaekyeom KIM , Gunhee KIM , Minjung KIM , Dongyeon WOO , Seungju HAN
Abstract: A neural network includes a drop layer configured to drops feature values. A method of computation using the neural network includes extracting feature data from input data using a first portion of a neural network, generating compressed representation data of the extracted feature data by dropping a feature value from the extracted feature data at a drop layer of the neural network based on a drop probability corresponding to the feature value, and indicating an inference result from the compressed representation data using a second portion of the neural network.
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公开(公告)号：US20210158509A1
公开(公告)日：2021-05-27
申请号：US16899935
申请日：2020-06-12
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Youngjun KWAK , Minsu KO , Youngsung KIM , Heewon KIM , Ju Hwan SONG , Byung In YOO , Seon Min RHEE , Yong-il LEE , Jiho CHOI , Seungju HAN
Abstract: A processor-implemented method includes: generating a preprocessed infrared (IR) image by performing first preprocessing based on an IR image including an object; generating a preprocessed depth image by performing second preprocessing based on a depth image including the object; and determining whether the object is a genuine object based on the preprocessed IR image and the preprocessed depth image.
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公开(公告)号：US20190286884A1
公开(公告)日：2019-09-19
申请号：US16430811
申请日：2019-06-04
Applicant: Samsung Electronics Co., Ltd.
Inventor： Seon Min RHEE , Jungbae KIM , Byungin YOO , Jaejoon HAN , Seungju HAN
Abstract: Face recognition of a face, to determine whether the face correlates with an enrolled face, may include generating a personalized three-dimensional (3D) face model based on a two-dimensional (2D) input image of the face, acquiring 3D shape information and a normalized 2D input image of the face based on the personalized 3D face model, generating feature information based on the 3D shape information and pixel color values of the normalized 2D input image, and comparing the feature information with feature information associated with the enrolled face. The feature information may include first and second feature information generated based on applying first and second deep neural network models to the pixel color values of the normalized 2D input image and the 3D shape information, respectively. The personalized 3D face model may be generated based on transforming a generic 3D face model based on landmarks detected in the 2D input image.
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公开(公告)号：US20180268196A1
公开(公告)日：2018-09-20
申请号：US15890462
申请日：2018-02-07
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Seon Min RHEE , Kyuhong KIM , Hana LEE , Changkyu CHOI
IPC: G06K9/00
CPC classification number: G06K9/00067 , G06K9/00026 , G06K9/00087 , G06K9/522 , G06K9/6215 , G06K9/6296 , G06K9/68
Abstract: A fingerprint verification method and apparatus is disclosed. The fingerprint verification method may include obtaining an input fingerprint image, determining a matching region between the input fingerprint image and a registered fingerprint image, determining a similarity corresponding to the matching region, representing a determined indication of similarities between the input fingerprint image and the registered fingerprint image, relating the determined similarity to the matching region as represented in a matching region-based similarity, determining a result of a verification of the input fingerprint image based on the matching region-based similarity, and indicating the result of the verification.
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25.发明申请公开(公告)号：US20180225494A1
公开(公告)日：2018-08-09
申请号：US15812484
申请日：2017-11-14
Applicant: Samsung Electronics Co., Ltd.
Inventor： Seon Min RHEE , Kyuhong KIM , Changkyu CHOI
Abstract: A method of selecting a candidate fingerprint image for fingerprint recognition includes acquiring a target fingerprint image, generating a target frequency image based on a frequency conversion of the target fingerprint image, extracting frequency feature information associated with a representative frequency from the target frequency image, and selecting a candidate fingerprint image from enrolled fingerprint images by comparing the frequency feature information to enrolled frequency information.
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Patent Agency Ranking
26.发明申请公开(公告)号：US20170140247A1
公开(公告)日：2017-05-18
申请号：US15347143
申请日：2016-11-09
Applicant: Samsung Electronics Co., Ltd.
Inventor： Byungin YOO , Youngjun KWAK , Jungbae KIM , Seon Min RHEE , Seungju HAN , Jaejoon HAN , Wonjun HWANG
CPC classification number: G06K9/6256 , G06K9/00067 , G06K9/00087 , G06K9/00221 , G06K9/00268 , G06K9/00288 , G06K9/4623 , G06N3/08 , H04L63/0861
Abstract: A method and an apparatus for recognizing an object are disclosed. The apparatus may extract a plurality of features from an input image using a single recognition model and recognize an object in the input image based on the extracted features. The single recognition model may include at least one compression layer configured to compress input information and at least one decompression layer configured to decompress the compressed information to determine the features.
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公开(公告)号：US20160171703A1
公开(公告)日：2016-06-16
申请号：US14903982
申请日：2014-05-15
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Seon Min RHEE , Hyong Euk LEE , Yong Beom LEE
IPC: G06T7/00
CPC classification number: G06T7/337 , G06T7/33 , G06T7/38 , G06T7/80 , G06T7/85 , G06T2207/10016 , G06T2207/10024 , G06T2207/10028 , G06T2207/30244 , H04N5/232
Abstract: Provided is a camera pose estimation apparatus that estimates an initial camera pose using one of an input depth image and an input color image, and refines the initial camera pose using the other image. When the initial camera pose is estimated using the input depth image, the radius of a first area, in which color information is matched for refinement, can be adaptively set according to the distribution of the depth value of at least one first point that is subject to matching.
Abstract translation: 提供一种照相机姿态估计装置，其使用输入深度图像和输入彩色图像中的一个来估计初始相机姿态，并且使用另一图像来优化初始相机姿态。 当使用输入深度图像估计初始摄像机姿态时，可以根据被摄体的至少一个第一点的深度值的分布自适应地设定其中颜色信息与细化相匹配的第一区域的半径 匹配。
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公开(公告)号：US20150169410A1
公开(公告)日：2015-06-18
申请号：US14628959
申请日：2015-02-23
Applicant: Samsung Electronics Co., Ltd.
Inventor： Sang-Wook KIM , Seon Min RHEE , Yong Beom LEE
CPC classification number: G06F11/1402 , G06F17/30153 , G06F17/30247 , G06K9/46 , G06K9/4671
Abstract: A method and an apparatus search an image using a feature point. The image search method extracts at least one feature point from an image and describes the extracted at least one feature point in stages, thereby generating a hierarchical feature point descriptor. In addition, the method may search for information matching the feature point descriptor from a local database (DB) included in a terminal or a remote DB included in a server.
Abstract translation: 方法和装置使用特征点搜索图像。 图像搜索方法从图像中提取至少一个特征点，并且分阶段地描述所提取的至少一个特征点，从而生成分层特征点描述符。 此外，该方法可以从包括在服务器中的终端或远程DB中的本地数据库（DB）搜索与特征点描述符匹配的信息。
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公开(公告)号：US20240087358A1
公开(公告)日：2024-03-14
申请号：US18515798
申请日：2023-11-21
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Youngjun KWAK , Minsu KO , Youngsung KIM , Heewon KIM , Ju Hwan SONG , Byung In YOO , Seon Min RHEE , Yong-il LEE , Jiho CHOI , Seungju HAN
CPC classification number: G06V40/166 , G06F21/32 , G06T7/0012 , G06T7/73 , G06V10/143 , G06V40/161 , G06V40/168 , G06V40/40 , G06T2207/10028 , G06T2207/10048 , G06T2207/30201
Abstract: A processor-implemented method includes generating a preprocessed infrared (IR) image by performing first preprocessing based on an IR image including an object; generating a preprocessed depth image by performing second preprocessing based on a depth image including the object; and determining whether the object is a genuine object based on the preprocessed IR image and the preprocessed depth image
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30.发明公开公开(公告)号：US20230360410A1
公开(公告)日：2023-11-09
申请号：US18355020
申请日：2023-07-19
Applicant: Samsung Electronics Co., Ltd.
Inventor： Heewon KIM , Seon Min RHEE , Jihye KIM , Ju Hwan SONG , Jaejoon HAN
IPC: G06V20/64 , G06T7/50 , G06F21/32 , G06N3/08 , G06V40/16 , G06F18/22 , G06F18/214 , G06F18/2413 , G06V10/74 , G06V10/44 , G06V10/75
CPC classification number: G06V20/647 , G06T7/50 , G06F21/32 , G06N3/08 , G06V40/172 , G06V40/168 , G06F18/22 , G06F18/214 , G06F18/2413 , G06V10/761 , G06V10/454 , G06V40/165 , G06V10/751 , G06T2207/10028 , G06T2207/20081 , G06T2207/20084 , G06T2207/30201
Abstract: A user authentication method and a user authentication apparatus acquire an input image including a frontalized face of a user, calculate a confidence map including confidence values, for authenticating the user, corresponding to pixels with values maintained in a depth image of the frontalized face of the user among pixels included in the input image, extract a second feature vector from a second image generated based on the input image and the confidence map, acquire a first feature vector corresponding to an enrolled image, and perform authentication of the user based on a correlation between the first feature vector and the second feature vector.
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