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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
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.
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公开(公告)号:US20220188979A1
公开(公告)日:2022-06-16
申请号:US17356801
申请日:2021-06-24
Applicant: Samsung Electronics Co., Ltd.
Inventor: Jihye KIM , Seon Min RHEE , Jongseok KIM , Heewon KIM , Seungju HAN , Jaejoon HAN
Abstract: An image processing method includes receiving an input image and a guide image corresponding to the input image, extracting informative features from the input image and the guide image to enhance the input image, selectively obtaining a first feature for the input image from among the informative features, and processing the input image based on the first feature.
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公开(公告)号:US20220092295A1
公开(公告)日:2022-03-24
申请号:US17540307
申请日:2021-12-02
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor: Seungju HAN , Minsu KO , Jaejoon HAN , Chang Kyu CHOI
Abstract: A three-dimensional (3D) image-based facial verification method and apparatus is provided. The facial verification method may include capturing a facial image of a 3D face of a user, determining an occluded region in the captured facial image by comparing the captured facial image and an average facial image, generating a synthetic image by synthesizing the captured facial image and the average facial image based on the occluded region, and verifying the user based on the synthetic image.
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公开(公告)号:US20220027649A1
公开(公告)日:2022-01-27
申请号:US17313437
申请日:2021-05-06
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor: Solae LEE , Youngjun KWAK , Sungheon PARK , Byung In YOO , Yong-Il LEE , Hana LEE , Jiho CHOI , Jaejoon HAN
Abstract: A processor-implemented method with liveness detection includes: receiving a plurality of phase images of different phases; generating a plurality of preprocessed phase images by performing preprocessing, including edge enhancement processing, on the plurality of phase images of different phases; generating a plurality of differential images based on the preprocessed phase images; generating a plurality of low-resolution differential images having lower resolutions than the differential images, based on the differential images; generating a minimum map image based on the low-resolution differential images; and performing a liveness detection on an object in the phase images based on the minimum map image.
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公开(公告)号:US20210366139A1
公开(公告)日:2021-11-25
申请号:US17225574
申请日:2021-04-08
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor: Jihye KIM , Seon Min RHEE , Heewon KIM , Seungju HAN , Jaejoon HAN
IPC: G06T7/55
Abstract: A method and apparatus for generating a depth image are provided. The apparatus receives an input image, extracts a feature corresponding to the input image, generates features for each depth resolution by decoding the feature using decoders corresponding to different depth resolutions, estimates probability distributions for each depth resolution by progressively refining the features for each depth resolution, and generates a target depth image corresponding to the input image based on a final estimated probability distribution from among the probability distributions for each depth resolution.
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公开(公告)号:US20210334350A1
公开(公告)日:2021-10-28
申请号:US17359968
申请日:2021-06-28
Applicant: Samsung Electronics Co., Ltd.
Inventor: Jihye KIM , Seungju HAN , Jaejoon HAN , Chang Kyu CHOI
Abstract: A processor-implemented method of performing authentication includes obtaining a first biometric information of a user according to a first modality; calculating a first score based on the first biometric information; filtering the first score; determining whether the filtered first score satisfies a second condition; and selectively, based on a result of the determining, authenticating the user based on the first score and a first condition corresponding to the first modality. The second condition is different from the first condition.
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公开(公告)号:US20210241098A1
公开(公告)日:2021-08-05
申请号:US17119381
申请日:2020-12-11
Inventor: Seong-Jin PARK , Sung Ju HWANG , Seungju HAN , Insoo KIM , Jiwon BAEK , Jaejoon HAN
Abstract: A processor-implemented neural network method includes: extracting, by a feature extractor of a neural network, a plurality of training feature vectors corresponding to a plurality of training class data of each of a plurality of classes including a first class and a second class; determining, by a feature sample generator of the neural network, an additional feature vector of the second class based on a mean vector and a variation vector of the plurality of training feature vectors of each of the first class and the second class; and training a class vector of the second class included in a classifier of the neural network based on the additional feature vector and the plurality of training feature vectors of the second class.
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公开(公告)号:US20210144357A1
公开(公告)日:2021-05-13
申请号:US16861510
申请日:2020-04-29
Applicant: Samsung Electronics Co., Ltd.
Inventor: Jihye KIM , Seon Min RHEE , Jaejoon HAN , Heewon KIM
IPC: H04N13/271 , G06T7/50 , H04N13/128
Abstract: A method with depth image generation may include: receiving an input image; generating a first low-resolution image having a resolution lower than a resolution of the input image; acquiring a first depth residual image corresponding to the input image by using a first generation model based on a first neural network; generating a first low-resolution depth image corresponding to the first low-resolution image by using a second generation model based on a second neural network; and generating a target depth image corresponding to the input image, based on the first depth residual image and the first low-resolution depth image.
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公开(公告)号:US20210026446A1
公开(公告)日:2021-01-28
申请号:US16937722
申请日:2020-07-24
Applicant: Samsung Electronics Co., Ltd.
Inventor: Yongchao LIU , Hui ZHANG , Xiabing LIU , Byung In YOO , Chang Kyu CHOI , Jaejoon HAN , Youngjun KWAK , Tianchu GUO
Abstract: A gaze tracking method and apparatus, and a gaze tracking neural network training method and apparatus are provided. The gaze tracking apparatus includes one or more processors and a memory, and the one or more processors obtain output position information from an input face image of a user using a neural network model, determines a position adjustment parameter for the user, and predicts gaze position information of the user by adjusting the output position information based on the position adjustment parameter.
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公开(公告)号:US20200320280A1
公开(公告)日:2020-10-08
申请号:US16904635
申请日:2020-06-18
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
Abstract: Disclosed is a face verification method and apparatus. The method including analyzing a current frame of a verification image, determining a current frame state score of the verification image indicating whether the current frame is in a state predetermined as being appropriate for verification, determining whether the current frame state score satisfies a predetermined validity condition, and selectively, based on a result of the determining of whether the current frame state score satisfies the predetermined validity condition, extracting a feature from the current frame and performing verification by comparing a determined similarity between the extracted feature and a registered feature to a set verification threshold.
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