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    Personalized eye openness estimation
    11.
    发明授权
    Personalized eye openness estimation 有权

    公开(公告)号：US11227156B2

    公开(公告)日：2022-01-18

    申请号：US16239352

    申请日：2019-01-03

    Applicant: QUALCOMM Incorporated

    Inventor： Eyasu Zemene Mequanint ,  Shuai Zhang ,  Yingyong Qi ,  Ning Bi

    IPC: G06K9/00 ,  G06T7/00 ,  A61B5/11 ,  G06F21/32 ,  G08B21/18 ,  A61B5/1171

    Abstract: Methods, systems, and devices for personalized (e.g., user specific) eye openness estimation are described. A network model (e.g., a convolutional neural network) may be trained using a set of synthetic eye openness image data (e.g., synthetic face images with known degrees or percentages of eye openness) and a set of real eye openness image data (e.g., facial images of real persons that are annotated as either open eyed or closed eyed). A device may estimate, using the network model, a multi-stage eye openness level (e.g., a percentage or degree to which an eye is open) of a user based on captured real time eye openness image data. The degree of eye openness estimated by the network model may then be compared to an eye size of the user (e.g., a user specific maximum eye size), and a user specific eye openness level may be estimated based on the comparison.

    User adaptation for biometric authentication
    12.
    发明授权
    User adaptation for biometric authentication 有权

    公开(公告)号：US11216541B2

    公开(公告)日：2022-01-04

    申请号：US16125360

    申请日：2018-09-07

    Applicant: QUALCOMM Incorporated

    Inventor： Eyasu Zemene Mequanint ,  Shuai Zhang ,  Yingyong Qi ,  Ning Bi

    IPC: G06F21/32 ,  G06F21/44

    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.

    Systems and methods for facial liveness detection
    13.
    发明授权
    Systems and methods for facial liveness detection 有权

    公开(公告)号：US11048953B2

    公开(公告)日：2021-06-29

    申请号：US16641469

    申请日：2017-12-01

    Applicant: QUALCOMM Incorporated

    Inventor： Xuan Zou ,  Ke-li Cheng ,  Michel Adib Sarkis ,  Matthew Fischler ,  Ning Bi ,  Yingyong Qi

    IPC: G06K9/00 ,  G06T7/62 ,  G06T7/50 ,  G06K9/62 ,  G06T7/40

    Abstract: A method performed by an electronic device is described. The method includes receiving an image. The image depicts a face. The method also includes detecting at least one facial landmark of the face in the image. The method further includes receiving a depth image of the face and determining at least one landmark depth by mapping the at least one facial landmark to the depth image. The method also includes determining a plurality of scales of depth image pixels based on the at least one landmark depth and determining a scale smoothness measure for each of the plurality of scales of depth image pixels. The method additionally includes determining facial liveness based on at least two of the scale smoothness measures. Determining the facial liveness may be based on a depth-adaptive smoothness threshold and/or may be based on a natural face size criterion.

    SYSTEMS AND METHODS FOR FACIAL LIVENESS DETECTION
    14.
    发明申请
    SYSTEMS AND METHODS FOR FACIAL LIVENESS DETECTION 有权

    公开(公告)号：US20210049391A1

    公开(公告)日：2021-02-18

    申请号：US16641469

    申请日：2017-12-01

    Applicant: QUALCOMM Incorporated

    Inventor： Xuan Zou ,  Ke-li Cheng ,  Michel Adib Sarkis ,  Matthew Fischler ,  Ning Bi ,  Yingyong Qi

    IPC: G06K9/00 ,  G06T7/50 ,  G06T7/62 ,  G06T7/40 ,  G06K9/62

    Abstract: A method performed by an electronic device is described. The method includes receiving an image. The image depicts a face. The method also includes detecting at least one facial landmark of the face in the image. The method further includes receiving a depth image of the face and determining at least one landmark depth by mapping the at least one facial landmark to the depth image. The method also includes determining a plurality of scales of depth image pixels based on the at least one landmark depth and determining a scale smoothness measure for each of the plurality of scales of depth image pixels. The method additionally includes determining facial liveness based on at least two of the scale smoothness measures. Determining the facial liveness may be based on a depth-adaptive smoothness threshold and/or may be based on a natural face size criterion.

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