METHOD AND APPARATUS FOR FACIAL RECOGNITION
    51.
    发明申请
    METHOD AND APPARATUS FOR FACIAL RECOGNITION 有权
    方法和装置用于真实识别

    公开(公告)号:US20140050372A1

    公开(公告)日:2014-02-20

    申请号:US13744906

    申请日:2013-01-18

    Abstract: Apparatus and methods for facial detection are disclosed. A plurality of images of an observed face is received for identification. Based at least on two or more selected images of the plurality of images, a template of the observed face is generated. In some embodiments, the template is a subspace generated based on feature vectors of the plurality of received images. A database of identities and corresponding facial data of known persons is searched based at least on the template of the observed face and the facial data of the known persons. One or more identities of the known persons are selected based at least on the search.

    Abstract translation: 公开了用于面部检测的装置和方法。 接收观察面的多张图像进行识别。 至少基于多个图像中的两个或更多个所选择的图像,生成观察到的面部的模板。 在一些实施例中,模板是基于多个接收图像的特征向量生成的子空间。 至少基于所观察到的面部的模板和已知人的面部数据来搜索已知人的身份和对应面部数据的数据库。 至少基于搜索来选择已知人的一个或多个身份。

    Scene segmentation and object tracking

    公开(公告)号:US12236614B2

    公开(公告)日:2025-02-25

    申请号:US17828962

    申请日:2022-05-31

    Abstract: Systems and techniques are provided for performing scene segmentation and object tracking. For example, a method for processing one or more frames. The method may include determining first one or more features from a first frame. The first frame includes a target object. The method may include obtaining a first mask associated with the first frame. The first mask includes an indication of the target object. The method may further include generating, based on the first mask and the first one or more features, a representation of a foreground and a background of the first frame. The method may include determining second one or more features from a second frame and determining, based on the representation of the foreground and the background of the first frame and the second one or more features, a location of the target object in the second frame.

    User adaptation for biometric authentication

    公开(公告)号:US11887404B2

    公开(公告)日:2024-01-30

    申请号:US17457365

    申请日:2021-12-02

    CPC classification number: G06V40/172 G06F21/32 G06F21/44 G06V10/17 G06V40/50

    Abstract: Techniques and systems are provided for authenticating a user of a device. For example, input biometric data associated with a person can be obtained. A similarity score for the input biometric data can be determined by comparing the input biometric data to a set of templates that include reference biometric data associated with the user. The similarity score can be compared to an authentication threshold. The person is authenticated as the user when the similarity score is greater than the authentication threshold. The similarity score can also be compared to a learning threshold that is greater than the authentication threshold. A new template including features of the input biometric data is saved for the user when the similarity score is less than the learning threshold and greater than the authentication threshold.

    Depth image based face anti-spoofing

    公开(公告)号:US10956719B2

    公开(公告)日:2021-03-23

    申请号:US16206832

    申请日:2018-11-30

    Abstract: Methods, systems, and devices for image processing are described. The method may include identifying a face in a first image based on identifying one or more biometric features of the face, determining an angular direction of one or more pixels of the identified face, identifying an anchor point on the identified face, sorting each of one or more pixels of the identified face into one of a set of pixel bins based on a combination of the determined angular direction of the pixel and a distance between the pixel and the identified anchor point, and outputting an indication of authenticity associated with the face based on a number of pixels in each bin.

    DEPTH IMAGE BASED FACE ANTI-SPOOFING
    57.
    发明申请

    公开(公告)号:US20200175260A1

    公开(公告)日:2020-06-04

    申请号:US16206832

    申请日:2018-11-30

    Abstract: Methods, systems, and devices for image processing are described. The method may include identifying a face in a first image based on identifying one or more biometric features of the face, determining an angular direction of one or more pixels of the identified face, identifying an anchor point on the identified face, sorting each of one or more pixels of the identified face into one of a set of pixel bins based on a combination of the determined angular direction of the pixel and a distance between the pixel and the identified anchor point, and outputting an indication of authenticity associated with the face based on a number of pixels in each bin.

    Efficient guide filter for depth refinement

    公开(公告)号:US10552970B2

    公开(公告)日:2020-02-04

    申请号:US15870483

    申请日:2018-01-12

    Abstract: A depth based scanning system can be configured to determine whether pixel depth values of a depth map are within a depth range; determine a component of the depth map comprised of connected pixels each with a depth value within the depth range; replace the depth values of any pixels of the depth map that are not connected pixels; determine whether each pixel of the connected pixels of the component has at least a threshold number of neighboring pixels that have a depth value within the depth range; and for each pixel of the connected pixels of the component, if the pixel is determined to have at least the threshold number of neighboring pixels, replace its depth value with a filtered depth value that is based on the depth values of the neighboring pixels that have a depth value within the depth range.

    SYSTEM AND METHOD ASSOCIATED WITH OBJECT VERIFICATION

    公开(公告)号:US20180129868A1

    公开(公告)日:2018-05-10

    申请号:US15346343

    申请日:2016-11-08

    CPC classification number: G06K9/00288 G06K9/00268 G06K9/6215 G06K9/6288

    Abstract: An apparatus includes a processor and a memory. The processor is configured to execute instructions stored at the memory to receive first characterization data and second characterization data. The first characterization data includes first values in a first order and corresponding to a first object. The second characterization data includes second values in a second order and corresponding to a second object. The processor is further configured to generate third characterization data and to generate fourth characterization. The third characterization data includes the first values in a third order. The fourth characterization data includes the second values in a fourth order. The processor is also configured to perform a first similarity operation using the first, second, third, and fourth characterization data to generate first result data and to determine whether the first object and the second object match based on the first result data.

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