-
公开(公告)号:US11861937B2
公开(公告)日:2024-01-02
申请号:US16394285
申请日:2019-04-25
Applicant: Samsung Electronics Co., Ltd.
Inventor: Seungju Han , Minsu Ko , Deoksang Kim , Jae-Joon Han
IPC: G06V40/16
CPC classification number: G06V40/166 , G06V40/171 , G06V40/172
Abstract: The facial verification apparatus is a mobile computing apparatus, including a camera to capture an image, a display, and one or more processors. While in a lock state, the image is captured and facial verification performed using a face image, or using a detected face and in response to the face being detected. The facial verification includes a matching with respect to the detected face, or obtained face image, and a registered face information. If the verification is successful, the lock state of the apparatus may be canceled and the user allowed access to the apparatus. The lock state may be cancelled when the verification is successful and the user has been determined to have been attempting to gain access to the apparatus. Face image feedback to the user may not be displayed during the detecting for, or obtaining of, the face and/or performing of the facial verification.
-
公开(公告)号:US11747898B2
公开(公告)日:2023-09-05
申请号:US17394653
申请日:2021-08-05
Applicant: Samsung Electronics Co., Ltd.
Inventor: Xiabing Liu , Hui Zhang , Jae-Joon Han , Changkyu Choi , Tianchu Guo
CPC classification number: G06F3/013 , G06T7/74 , G06V10/764 , G06V10/82 , G06V40/18 , G06T2207/20021 , G06T2207/20076 , G06T2207/20081 , G06T2207/20084 , G06T2207/30201 , G06V20/20
Abstract: A gaze estimation method and apparatus is disclosed. The gaze estimation method includes obtaining an image including an eye region of a user, extracting, from the obtained image, a first feature of data, obtaining a second feature of data used for calibration of a neural network model, and estimating a gaze of the user using the first feature and the second feature.
-
公开(公告)号:US11625601B2
公开(公告)日:2023-04-11
申请号:US16564494
申请日:2019-09-09
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.
-
公开(公告)号:US11380114B2
公开(公告)日:2022-07-05
申请号:US16849015
申请日:2020-04-15
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor: Biao Wang , Chao Zhang , Changkyu Choi , Deheng Qian , Jae-Joon Han , Jingtao Xu , Hao Feng
IPC: G06V30/194 , G06N3/04 , G06N3/08 , G06K9/62 , G06V10/32
Abstract: A method of detecting a target includes generating an image pyramid based on an image on which a detection is to be performed; classifying candidate areas in the image pyramid using a cascade neural network; and determining a target area corresponding to a target included in the image based on the plurality of candidate areas, wherein the cascade neural network includes a plurality of neural networks, and at least one neural network among the neural networks includes parallel sub-neural networks.
-
公开(公告)号:US20210366152A1
公开(公告)日:2021-11-25
申请号:US17394653
申请日:2021-08-05
Applicant: Samsung Electronics Co., Ltd.
Inventor: Xiabing Liu , Hui Zhang , Jae-Joon Han , Changkyu Choi , Tianchu Guo
IPC: G06T7/73
Abstract: A gaze estimation method and apparatus is disclosed. The gaze estimation method includes obtaining an image including an eye region of a user, extracting, from the obtained image, a first feature of data, obtaining a second feature of data used for calibration of a neural network model, and estimating a gaze of the user using the first feature and the second feature.
-
公开(公告)号:US10657424B2
公开(公告)日:2020-05-19
申请号:US15825951
申请日:2017-11-29
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor: Biao Wang , Chao Zhang , Changkyu Choi , Deheng Qian , Jae-Joon Han , Jingtao Xu , Hao Feng
Abstract: A method of detecting a target includes generating an image pyramid based on an image on which a detection is to be performed; classifying candidate areas in the image pyramid using a cascade neural network; and determining a target area corresponding to a target included in the image based on the plurality of candidate areas, wherein the cascade neural network includes a plurality of neural networks, and at least one neural network among the neural networks includes parallel sub-neural networks.
-
公开(公告)号:US11790065B2
公开(公告)日:2023-10-17
申请号:US17240059
申请日:2021-04-26
Applicant: Samsung Electronics Co., Ltd.
Inventor: Sungjoo Suh , Seungju Han , Jae-Joon Han , Chang Kyu Choi
CPC classification number: G06F21/32 , H04L63/0861 , H04L63/105 , H04L2463/082
Abstract: A user verification apparatus may perform user verification using multiple biometric verifiers. The user verification apparatus may set a termination stage of one or more biometric verifiers. Multiple biometric verifiers may be used to generate outputs, for which separate termination stages are set to establish a particular combination of set termination stages associated with the multiple biometric verifiers, and the user verification apparatus may fuse outputs of the biometric verifiers based on the particular combination of set termination stages. The user verification apparatus may verify a user based on a result of the fusing, and an unlocking command signal may be generated based on the verifying. The unlocking command signal may be generated to selectively grant access, to the verified user, to one or more elements of a device. The device may be a vehicle.
-
公开(公告)号:US11532177B2
公开(公告)日:2022-12-20
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.
-
公开(公告)号:US10990658B2
公开(公告)日:2021-04-27
申请号:US15489053
申请日:2017-04-17
Applicant: Samsung Electronics Co., Ltd.
Inventor: Sungjoo Suh , Seungju Han , Jae-Joon Han , Chang Kyu Choi
Abstract: A user verification apparatus may perform user verification using multiple biometric verifiers. The user verification apparatus may set a termination stage of one or more biometric verifiers. Multiple biometric verifiers may be used to generate outputs, for which separate termination stages are set to establish a particular combination of set termination stages associated with the multiple biometric verifiers, and the user verification apparatus may fuse outputs of the biometric verifiers based on the particular combination of set termination stages. The user verification apparatus may verify a user based on a result of the fusing, and an unlocking command signal may be generated based on the verifying. The unlocking command signal may be generated to selectively grant access, to the verified user, to one or more elements of a device. The device may be a vehicle.
-
公开(公告)号:US10902244B2
公开(公告)日:2021-01-26
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
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.
-
-
-
-
-
-
-
-
-