METHOD AND APPARATUS TO RECOGNIZE OBJECT BASED ON ATTRIBUTE OF OBJECT AND TRAIN

    公开(公告)号:US20180121748A1

    公开(公告)日:2018-05-03

    申请号:US15595997

    申请日:2017-05-16

    CPC classification number: G06N3/08 G06K2009/00322 G06N3/0454 G06N3/084

    Abstract: Provided is a method and apparatus to recognizing an object based on an attribute of the object and training that may calculate object age information from input data using an attribute layer trained with respect to an attribute of an object and a classification layer trained with respect to a classification of the object. The method to recognize the object includes extracting feature data from input data including an object using an object model, determining attribute classification information related to the input data from the feature data using a classification layer, determining attribute age information related to an attribute from the feature data using an attribute layer, and estimating object age information based on the attribute classification information and the attribute age information.

    METHOD AND APPARATUS FOR EXTRACTING FACIAL FEATURE, AND METHOD AND APPARATUS FOR FACIAL RECOGNITION
    25.
    发明申请
    METHOD AND APPARATUS FOR EXTRACTING FACIAL FEATURE, AND METHOD AND APPARATUS FOR FACIAL RECOGNITION 审中-公开
    提取物理特征的方法和装置,以及用于真实识别的方法和装置

    公开(公告)号:US20160140383A1

    公开(公告)日:2016-05-19

    申请号:US14932127

    申请日:2015-11-04

    CPC classification number: G06K9/00234 G06K9/00281 G06K9/4652 G06K9/6207

    Abstract: A method and an apparatus for extracting a facial feature and a method and an apparatus for recognizing a face are provided, in which the apparatus for extracting a facial feature may extract facial landmarks from a current input image, sample a skin region and a facial component region based on the extracted facial landmarks, generate a probabilistic model associated with the sampled skin region and the facial component region, extract the facial component region from a face region included in the input image using the generated probabilistic model, and extract facial feature information from the extracted facial component region.

    Abstract translation: 提供了一种用于提取面部特征的方法和装置,以及用于识别脸部的方法和装置,其中用于提取面部特征的装置可以从当前输入图像中提取面部界标,采样皮肤区域和面部组件 基于所提取的面部地标,生成与采样的皮肤区域和面部分量区域相关联的概率模型,使用生成的概率模型从包括在输入图像中的面部区域提取面部分量区域,并从 提取的面部成分区域。

    NEURAL NETWORK METHOD AND APPARATUS

    公开(公告)号:US20220138576A1

    公开(公告)日:2022-05-05

    申请号:US17574408

    申请日:2022-01-12

    Abstract: A lightened neural network method and apparatus. The neural network apparatus includes a processor configured to generate a neural network with a plurality of layers including plural nodes by applying lightened weighted connections between neighboring nodes in neighboring layers of the neural network to interpret input data applied to the neural network, wherein lightened weighted connections of at least one of the plurality of layers includes weighted connections that have values equal to zero for respective non-zero values whose absolute values are less than an absolute value of a non-zero value. The lightened weighted connections also include weighted connections that have values whose absolute values are no greater than an absolute value of another non-zero value, the lightened weighted connections being lightened weighted connections of trained final weighted connections of a trained neural network whose absolute maximum values are greater than the absolute value of the other non-zero value.

    METHOD AND APPARATUS FOR GENERATING IMAGE

    公开(公告)号:US20220058769A1

    公开(公告)日:2022-02-24

    申请号:US17201707

    申请日:2021-03-15

    Abstract: Disclosed is a method and apparatus for generating an image. The apparatus includes at least one processor and a memory. The processor is configured to obtain a wide image of an entire region, obtain one or more teleimages of one or more regions of interest (ROIs) of the entire region using a telecamera according to a capturing order of the telecamera determined for the one or more ROIs based on the wide image, match the wide image and the one or more teleimages, warp the one or more teleimages to the wide image based on a result of the matching, and stitch the one or more warped teleimages based on the wide image.

    FACE VERIFICATION METHOD AND APPARATUS

    公开(公告)号:US20210089755A1

    公开(公告)日:2021-03-25

    申请号:US17111912

    申请日:2020-12-04

    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.

    FACE RECOGNITION METHOD AND APPARATUS
    30.
    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.

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