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    OBJECT RECOGNITION METHOD AND APPARATUS
    15.
    发明申请
    OBJECT RECOGNITION METHOD AND APPARATUS 有权

    公开(公告)号：US20210056332A1

    公开(公告)日：2021-02-25

    申请号：US17089902

    申请日：2020-11-05

    Applicant: Samsung Electronics Co., Ltd.

    Inventor： SeungJu HAN ,  SungUn PARK ,  JaeJoon HAN ,  Jinwoo SON ,  ChangYong SON ,  Minsu KO ,  Jihye KIM ,  Chang Kyu CHOI

    IPC: G06K9/00

    Abstract: An object recognition apparatus and method are provided. The apparatus includes a processor configured to verify a target image using an object model and based on reference intermediate data extracted by a partial layer of the object model as used in an object recognition of an input image, in response to a failure of a verification of the input image after a success of the object recognition of the input image, and perform an additional verification of the target image in response to the target image being verified in the verifying of the target image.

    USER AUTHENTICATION METHOD AND APPARATUS WITH ADAPTIVELY UPDATED ENROLLMENT DATABASE (DB)
    18.
    发明申请
    USER AUTHENTICATION METHOD AND APPARATUS WITH ADAPTIVELY UPDATED ENROLLMENT DATABASE (DB) 审中-公开

    公开(公告)号：US20180365402A1

    公开(公告)日：2018-12-20

    申请号：US15967898

    申请日：2018-05-01

    Applicant: Samsung Electronics Co., Ltd.

    Inventor： Minsu KO ,  Seungju HAN ,  JaeJoon HAN ,  Deoksang KIM ,  Chang Kyu CHOI

    IPC: G06F21/32 ,  G06F17/30

    Abstract: A method and apparatus with an adaptively updated enrollment database (DB) are provided. A method with an adaptively updated enrollment database (DB) includes extracting an input feature vector from an input image, determining whether the input feature vector is included in a changeable enrollment range, with the changeable enrollment range being determined based on a threshold distance from each of plural enrolled feature vectors in the enrollment DB, and with the enrolled feature vectors corresponding to enrolled images, determining whether to enroll the input feature vector in the enrollment DB in response to the input feature vector being determined as being included in the changeable enrollment range, and in response to a result of the determining of whether to enroll the input feature vector being to enroll the input feature vector, selectively enrolling the input feature vector in the enrollment DB.

    METHOD AND APPARATUS WITH RECOGNITION MODEL TRAINING
    19.
    发明公开
    METHOD AND APPARATUS WITH RECOGNITION MODEL TRAINING 审中-公开

    公开(公告)号：US20230143874A1

    公开(公告)日：2023-05-11

    申请号：US17978425

    申请日：2022-11-01

    Applicant: Samsung Electronics Co., Ltd.

    Inventor： Huijin LEE ,  Wissam BADDAR ,  Minsu KO ,  Sungjoo SUH

    IPC: G06V10/774 ,  G06V10/77 ,  G06V10/82

    CPC classification number: G06V10/774 ,  G06V10/7715 ,  G06V10/82

    Abstract: A processor-implemented method includes: generating a first sample image and a second sample image by performing data augmentation on an input training image; generating a first feature map of the first sample image and a second feature map of the second sample image by performing feature extraction on the first sample image and the second sample image using an encoding model; determining first loss data according to a relationship between first feature vectors of the first feature map and second feature vectors of the second feature map; estimating relative geometric information of the first feature map and the second feature map using a relationship estimation model; determining second loss data according to the relative geometric information, based on label data according to a geometric arrangement of the first sample image and the second sample image in the input training image; and training the encoding model and the relationship estimation model, based on the first loss data and the second loss data.

    METHOD AND APPARATUS WITH GENERATION OF TRANSFORMED IMAGE
    20.
    发明申请
    METHOD AND APPARATUS WITH GENERATION OF TRANSFORMED IMAGE 有权

    公开(公告)号：US20220148244A1

    公开(公告)日：2022-05-12

    申请号：US17344114

    申请日：2021-06-10

    Applicant: SAMSUNG ELECTRONICS CO., LTD.

    Inventor： Minsu KO ,  Sungjoo SUH ,  Young Chun AHN

    IPC: G06T11/60 ,  G06N3/04 ,  G06T5/50

    Abstract: A method with generation of a transformed image includes: receiving an input image; extracting, from the input image, coefficients corresponding to semantic elements of the input image; selecting at least one first target coefficient, among the coefficients, corresponding to at least one target semantic element that is to be changed among the semantic elements of the input image; changing the at least one first target coefficient; and generating a transformed image from the input image by applying the coefficients, including the changed at least one first target coefficient, to basis vectors used to represent the semantic elements of the input image in an embedding space of a neural network, the basis vectors corresponding to the semantic elements of the input image.

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