METHOD AND APPARATUS WITH FACE RECOGNITION

    公开(公告)号:US20220301342A1

    公开(公告)日:2022-09-22

    申请号:US17695241

    申请日:2022-03-15

    Abstract: A method with face recognition includes: determining a first global feature of a first face image and a first global feature of a second face image based on a local feature of the first face image and a local feature of the second face image, respectively; determining a final global feature of the first face image based on the first global feature of the first face image and a second global feature of the first face image; determining a final global feature of the second face image based on the first global feature and a second global feature of the second face image; and recognizing the first face image and the second face image based on the final global feature of the first face image and the final global feature of the second face image, wherein the second global feature of the first face image is determined based on the local feature of the first face image, and the second global feature of the second face image is determined based on the local feature of the second face image.

    FACE RECOGNITION METHOD AND APPARATUS
    3.
    发明申请

    公开(公告)号:US20200285837A1

    公开(公告)日:2020-09-10

    申请号:US16881436

    申请日:2020-05-22

    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.

    APPARATUS AND METHOD WITH USER VERIFICATION
    4.
    发明申请

    公开(公告)号:US20200210685A1

    公开(公告)日:2020-07-02

    申请号:US16728056

    申请日:2019-12-27

    Abstract: A processor-implemented verification method includes: detecting a characteristic of an input image; acquiring input feature transformation data and enrolled feature transformation data by respectively transforming input feature data and enrolled feature data based on the detected characteristic, wherein the input feature data is extracted from the input image using a feature extraction model; and verifying a user corresponding to the input image based on a result of comparison between the input feature transformation data and the enrolled feature transformation data.

    FINGERPRINT VERIFICATION METHOD AND APPARATUS

    公开(公告)号:US20180365479A1

    公开(公告)日:2018-12-20

    申请号:US15926024

    申请日:2018-03-20

    CPC classification number: G06K9/00087 G06K9/00013 G06K9/00026

    Abstract: A fingerprint verification method and a fingerprint verification apparatus performing the fingerprint verification method are disclosed. The fingerprint verification apparatus determines a first similarity between a query fingerprint image and each of registered fingerprint images, selects a target registered fingerprint image group from registered fingerprint image groups based on the first similarity, determines a second similarity between the query fingerprint image and each of registered fingerprint images in the target registered fingerprint image group based on matching relationship information between the registered fingerprint images in the target registered fingerprint image group, and determines whether fingerprint verification of the query fingerprint image is successful based on the second similarity.

    METHOD AND APPARATUS FOR REGISTERING FACE, AND METHOD AND APPARATUS FOR RECOGNIZING FACE
    6.
    发明申请
    METHOD AND APPARATUS FOR REGISTERING FACE, AND METHOD AND APPARATUS FOR RECOGNIZING FACE 审中-公开
    用于注册面的方法和装置,以及用于识别脸部的方法和装置

    公开(公告)号:US20160154994A1

    公开(公告)日:2016-06-02

    申请号:US14918783

    申请日:2015-10-21

    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.

    Abstract translation: 公开了一种用于登记脸部的方法和装置,以及用于识别脸部的方法和装置,其中面部登记装置可以将存储的三维(3D)面部模型改变为基于面部的个性化3D面部模型 从二维(2D)面部图像提取的地标,将个体化3D面部模型与2D脸部图像的当前2D脸部图像相匹配,并将当前2D脸部图像的图像特征从当前2D脸部图像中的区域提取到 投影个性化3D面部模型的3D特征点,面部识别装置可以基于面部登记装置提取的2D面部图像的图像特征进行面部识别。

    METHOD AND APPARATUS WITH FINGERPRINT VERIFICATION

    公开(公告)号:US20210158012A1

    公开(公告)日:2021-05-27

    申请号:US17142308

    申请日:2021-01-06

    Abstract: A fingerprint verification method and apparatus is disclosed. The fingerprint verification method may include obtaining an input fingerprint image, determining a matching region between the input fingerprint image and a registered fingerprint image, determining a similarity corresponding to the matching region, representing a determined indication of similarities between the input fingerprint image and the registered fingerprint image, relating the determined similarity to the matching region as represented in a matching region-based similarity, determining a result of a verification of the input fingerprint image based on the matching region-based similarity, and indicating the result of the verification.

    FACE RECOGNITION METHOD AND APPARATUS
    9.
    发明申请
    FACE RECOGNITION METHOD AND APPARATUS 审中-公开
    脸部识别方法和装置

    公开(公告)号:US20160379041A1

    公开(公告)日:2016-12-29

    申请号:US15188437

    申请日:2016-06-21

    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.

    Abstract translation: 面部识别,以确定面部与登记面部相关是否可以包括基于面部的二维(2D)输入图像生成个性化三维(3D)面部模型,获取3D形状信息和 基于个性化3D脸部模型的面部的归一化2D输入图像,基于3D形状信息和归一化2D输入图像的像素颜色值生成特征信息,以及将特征信息与与注册面相关联的特征信息进行比较。 特征信息可以包括基于将第一和第二深层神经网络模型应用于归一化2D输入图像和3D形状信息的像素颜色值而生成的第一和第二特征信息。 可以基于基于在2D输入图像中检测到的地标来变换通用3D脸部模型来生成个性化3D脸部模型。

    METHOD AND APPARATUS FOR GENERATING PERSONALIZED 3D FACE MODEL
    10.
    发明申请
    METHOD AND APPARATUS FOR GENERATING PERSONALIZED 3D FACE MODEL 有权
    用于生成个性化3D面部模型的方法和装置

    公开(公告)号:US20160148425A1

    公开(公告)日:2016-05-26

    申请号:US14882624

    申请日:2015-10-14

    Abstract: A method of generating a three-dimensional (3D) face model includes extracting feature points of a face from input images comprising a first face image and a second face image; deforming a generic 3D face model to a personalized 3D face model based on the feature points; projecting the personalized 3D face model to each of the first face image and the second face image; and refining the personalized 3D face model based on a difference in texture patterns between the first face image to which the personalized 3D face model is projected and the second face image to which the personalized 3D face model is projected.

    Abstract translation: 一种生成三维(3D)面部模型的方法包括从包括第一面部图像和第二面部图像的输入图像中提取面部的特征点; 基于特征点将通用3D人脸模型变形为个性化3D脸部模型; 将所述个性化3D脸部模型投影到所述第一面部图像和所述第二面部图像中的每一个; 以及基于投射个性化3D脸部模型的第一面部图像与投影个性化3D脸部模型的第二面部图像之间的纹理图案的差异来细化个性化3D脸部模型。

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