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公开(公告)号：US10977768B2
公开(公告)日：2021-04-13
申请号：US16266808
申请日：2019-02-04
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Seungju Han , Minsu Ko , Changyong Son , Jaejoon Han
Abstract: A processor-implemented image normalization method includes extracting a first object patch from a first input image and extracting a second object patch from a second input image based on an object area that includes an object detected from any one or any combination of the first input image and the second input image, determining, based on a first landmark detected from the first object patch, a second landmark of the second object patch; and normalizing the first object patch and the second object patch based on the first landmark and the second landmark.
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92.发明授权公开(公告)号：US10769255B2
公开(公告)日：2020-09-08
申请号：US15270172
申请日：2016-09-20
Applicant: Samsung Electronics Co., Ltd.
Inventor： Jungbae Kim , Seon Min Rhee , Jaejoon Han
IPC: G06F21/00 , G06F21/32 , G06F16/23 , G06F16/51 , G06K9/00 , G06K9/62 , G07C9/37 , G06F21/45 , G06F21/36 , G06K9/46 , H04L29/06
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.
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公开(公告)号：US20190279052A1
公开(公告)日：2019-09-12
申请号：US16426315
申请日：2019-05-30
Applicant: Samsung Electronics Co., Ltd.
Inventor： Seungju HAN , Sungjoo Suh , Jaejoon Han , Chang Kyu Choi
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.
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公开(公告)号：US10387739B2
公开(公告)日：2019-08-20
申请号：US15175315
申请日：2016-06-07
Applicant: Samsung Electronics Co., Ltd.
Inventor： Seungju Han , Byungin Yoo , Jaejoon Han
Abstract: A complex authentication method includes identifying a user based on at least one image of a face image and a fingerprint image; identifying a first pattern associated with at least one of a feature point extracted from the face image and a first input to a display of an electronic device; and performing an operation assigned to the identified user and the identified first pattern.
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95.发明申请公开(公告)号：US20190244010A1
公开(公告)日：2019-08-08
申请号：US16390164
申请日：2019-04-22
Applicant: Samsung Electronics Co., Ltd.
Inventor： Jungbae Kim , Seon Min Rhee , Youngkyoo Hwang , Jaejoon Han
IPC: G06K9/00
CPC classification number: G06K9/00248 , G06K9/00208
Abstract: A method and an apparatus for registering a face, and a method and an apparatus for recognizing a face are disclosed, in which a face registering apparatus may change a stored three-dimensional (3D) facial model to an individualized 3D facial model based on facial landmarks extracted from two-dimensional (2D) face images, match the individualized 3D facial model to a current 2D face image of the 2D face images, and extract an image feature of the current 2D face image from regions in the current 2D face image to which 3D feature points of the individualized 3D facial model are projected, and a face recognizing apparatus may perform facial recognition based on image features of the 2D face images extracted by the face registering apparatus.
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Patent Agency Ranking
公开(公告)号：US10360465B2
公开(公告)日：2019-07-23
申请号：US15499164
申请日：2017-04-27
Applicant: Samsung Electronics Co., Ltd.
Inventor： Wonjun Kim , Sungjoo Suh , Jaejoon Han , Wonjun Hwang
Abstract: A liveness testing apparatus includes a testing circuit. The testing circuit is configured to test a liveness of an object included in a received input image based on whether an image of the object has a characteristic indicative of a flat surface or a characteristic indicative of a three-dimensional (3D) structure.
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公开(公告)号：US10346726B2
公开(公告)日：2019-07-09
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
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.
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公开(公告)号：US10331941B2
公开(公告)日：2019-06-25
申请号：US15188437
申请日：2016-06-21
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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99.发明授权公开(公告)号：US09928410B2
公开(公告)日：2018-03-27
申请号：US14938365
申请日：2015-11-11
Applicant: Samsung Electronics Co., Ltd.
Inventor： Byungin Yoo , Namjoon Kim , Changkyo Lee , Chang Kyu Choi , Jaejoon Han
CPC classification number: G06K9/00302 , G06K9/00281 , G06K9/4628 , G06N3/0454 , G06N3/082 , G06N7/005
Abstract: A recognition method includes receiving an input image; and recognizing a plurality of elements associated with the input image using a single recognizer pre-trained to recognize a plurality of elements simultaneously.
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公开(公告)号：US12272137B2
公开(公告)日：2025-04-08
申请号：US17537762
申请日：2021-11-30
Applicant: Samsung Electronics Co., Ltd.
Inventor： Jingtao Xu , Yiwei Chen , Changbeom Park , Hyunjeong Lee , Byung In Yoo , Jaejoon Han , Qiang Wang , Jiaqian Yu
Abstract: A target object detection method and apparatus are provided. The target object detection method and apparatus are applicable to fields such as artificial intelligence, object tracking, object detection, and image processing. An object is detected from a frame image of a video including a plurality of frame images based on a target template set including one or more target templates.
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