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公开(公告)号：US20180276492A1
公开(公告)日：2018-09-27
申请号：US15926161
申请日：2018-03-20
Applicant: SAMSUNG ELECTRONICS CO., LTD
Inventor： Hao FENG , Jae-Joon HAN , Changkyu CHOI , Chao ZHANG , Jingtao XU , Yanhu SHAN , Yaozu AN
CPC classification number: G06K9/3241 , G06K9/00281 , G06K9/036 , G06K9/6257 , G06K2009/4666 , G06T3/4007 , G06T7/0002 , G06T7/73 , G06T2207/30168
Abstract: An image processing method implemented by a processor includes receiving an image, acquiring a target image that includes an object from the image, calculating an evaluation score by evaluating a quality of the target image, and detecting the object from the target image based on the evaluation score.
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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
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.
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公开(公告)号：US20160191903A1
公开(公告)日：2016-06-30
申请号：US14977282
申请日：2015-12-21
Applicant: Samsung Electronics Co., Ltd.
Inventor： Yongjie ZHANG , Hui ZHANG , Fei DUAN , Haoxing WANG , Jae-Joon HAN , Jung-Bae KIM , Seonmin RHEE , Gengyu MA
IPC: H04N13/02
CPC classification number: G06T7/55 , G06T2207/30201 , H04N13/261 , H04N2013/0081
Abstract: A method and apparatus of generating a three-dimensional (3D) image are provided. The method of generating a 3D image involves acquiring a plurality of images of a 3D object with a camera, calculating pose information of the plurality of images based on pose data for each of the plurality of images measured by an inertial measurement unit, and generating a 3D image corresponding to the 3D object based on the pose information.
Abstract translation: 提供了一种生成三维（3D）图像的方法和装置。 生成3D图像的方法涉及利用照相机获取3D物体的多个图像，基于由惯性测量单元测量的多个图像中的每个图像的姿态数据来计算多个图像的姿势信息，并且生成 基于姿态信息对应于3D对象的3D图像。
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公开(公告)号：US20230154040A1
公开(公告)日：2023-05-18
申请号：US17987152
申请日：2022-11-15
Applicant: Samsung Electronics Co., Ltd.
Inventor： Zidong GUO , Jae-Joon HAN , Seon-Min RHEE , Seungju HAN , Hui LI
IPC: G06T7/73 , G06V10/766 , G06V10/82 , G06V10/774 , G06V10/77 , G06V40/16 , G06V10/776
CPC classification number: G06T7/73 , G06V10/766 , G06V10/82 , G06V10/774 , G06V10/7715 , G06V40/171 , G06V10/776 , G06V40/169 , G06T2207/30201 , G06T2207/20084 , G06T2207/20081
Abstract: A method and apparatus with landmark coordinate prediction are provided. The method includes generating a multi-stage feature map for landmarks of a face image through a staged convolutional network, generating an initial query matrix by fully connecting a last-stage feature map in the multi-stage feature map using a fully connected network, where a total number of feature elements in the initial query matrix is equal to a total number of predicted landmarks of the face image, generating a memory feature matrix by flattening and connecting the multi-stage feature map, generating the predicted landmark coordinates by inputting the memory feature matrix and the initial query matrix to a decoder network of plural cascaded decoder networks.
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公开(公告)号：US20220138576A1
公开(公告)日：2022-05-05
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
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.
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Patent Agency Ranking
公开(公告)号：US20210271860A1
公开(公告)日：2021-09-02
申请号：US17322050
申请日：2021-05-17
Applicant: Samsung Electronics Co., Ltd.
Inventor： Seungju HAN , Minsu KO , Deoksang KIM , Jae-Joon HAN
Abstract: A facial verification method and apparatus is disclosed. The facial verification method includes detecting a face region in an input image, determining whether the detected face region represents a partial face, in response to a determination that the detected face region represents the partial face, generating a synthesized image by combining image information of the detected face region and reference image information, performing a verification operation with respect to the synthesized image and predetermined first registration information, and indicating whether facial verification of the input image is successful based on a result of the performed verification operation.
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公开(公告)号：US20180285629A1
公开(公告)日：2018-10-04
申请号：US15864232
申请日：2018-01-08
Applicant: Samsung Electronics Co., Ltd.
Inventor： Changyong SON , Deoksang KIM , Minsu KO , Jinwoo SON , Seungju HAN , Chang Kyu CHOI , Jae-Joon HAN
Abstract: A face verification method and apparatus is disclosed. The face verification method includes selecting a current verification mode, from among plural verification modes, to be implemented for the verifying of the face, determining one or more recognizers, from among plural recognizers, based on the selected current verification mode, extracting feature information from information of the face using at least one of the determined one or more recognizers, and indicating whether a verification is successful based on the extracted feature information.
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公开(公告)号：US20180276489A1
公开(公告)日：2018-09-27
申请号：US15921740
申请日：2018-03-15
Applicant: Samsung Electronics Co., Ltd.
Inventor： Jingtao XU , ByungIn YOO , Jae-Joon HAN , Chao ZHANG , Hao FENG , Yanhu SHAN , Yaozu AN , Changkyu CHOI
IPC: G06K9/00
CPC classification number: G06K9/00906 , G06K9/00261 , G06K9/00281 , G06K9/00288 , G06K9/00899
Abstract: Disclosed is a liveness test method and apparatus. A liveness test apparatus determines a pre-liveness score based on a plurality of sub-images acquired from an input image, determines a post-liveness score based on a recognition model for recognizing an object included in the input image, and determines a liveness of the object based on any one or any combination of the pre-liveness score and the post-liveness score.
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公开(公告)号：US20180276455A1
公开(公告)日：2018-09-27
申请号：US15922237
申请日：2018-03-15
Applicant: Samsung Electronics Co., Ltd.
Inventor： Yaozu AN , Jae-Joon HAN , Changkyu CHOI , Chao ZHANG , Hao FENG , Jingtao XU , Yanhu SHAN
CPC classification number: G06K9/00288 , G06K9/00221 , G06K9/00281 , G06K9/036 , G06K9/4628 , G06K9/6273 , G06T7/0002 , G06T2207/20076 , G06T2207/20081 , G06T2207/30168 , G06T2207/30201
Abstract: A processor implemented image processing method includes acquiring a facial image by performing a face detection on an image, performing a quality assessment on the facial image using a preset facial image regression model, and determining a quality level of the facial image based on the quality assessment.
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公开(公告)号：US20180276454A1
公开(公告)日：2018-09-27
申请号：US15837170
申请日：2017-12-11
Applicant: Samsung Electronics Co., Ltd.
Inventor： Seungju HAN , Minsu KO , Deoksang KIM , Jae-Joon HAN
CPC classification number: G06K9/00288 , G06K9/00255 , G06K9/00281 , G06K9/4628
Abstract: A facial verification method and apparatus is disclosed. The facial verification method includes detecting a face region in an input image, determining whether the detected face region represents a partial face, in response to a determination that the detected face region represents the partial face, generating a synthesized image by combining image information of the detected face region and reference image information, performing a verification operation with respect to the synthesized image and predetermined first registration information, and indicating whether facial verification of the input image is successful based on a result of the performed verification operation.
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