AUTOMATIC RETRIES FOR FACIAL RECOGNITION
    2.
    发明申请

    公开(公告)号:WO2019236285A1

    公开(公告)日:2019-12-12

    申请号:PCT/US2019/033362

    申请日:2019-05-21

    Applicant: APPLE INC.

    Abstract: An operation of a facial recognition authentication process may fail to authenticate a user even if the user is an authorized user of the device. In such cases, the facial recognition authentication process may automatically re-initiate to provide another attempt to authenticate the user using additional captured images. For the new attempt (e.g., the retry) to authenticate the user, one or more criteria for the images used in the facial recognition authentication process may be adjusted. For example, criteria for distance between the camera and the user's face and/or occlusion of the user's face in the images may be adjusted before the new attempt to authenticate the user. Adjustment of these criteria may increase the likelihood that the authorized user will be successfully authenticated in the new attempt.

    DETERMINING SPARSE VERSUS DENSE PATTERN ILLUMINATION

    公开(公告)号:WO2019027506A9

    公开(公告)日:2019-02-07

    申请号:PCT/US2018/015594

    申请日:2018-01-26

    Applicant: APPLE INC.

    Abstract: An estimate of distance between a user and a camera on a device is used to determine an illumination pattern density used for speckle pattern illumination of the user in subsequent images. The distance may be estimated using an image captured when the user is illuminated with flood infrared illumination. Either a sparse speckle (dot) pattern illumination pattern or a dense speckle pattern illumination pattern is used depending on the distance between the user's face and the camera.

    MULTIPLE ENROLLMENTS IN FACIAL RECOGNITION
    4.
    发明申请

    公开(公告)号:WO2019236284A1

    公开(公告)日:2019-12-12

    申请号:PCT/US2019/033356

    申请日:2019-05-21

    Applicant: APPLE INC.

    Abstract: A facial recognition authentication on a device having a camera may operate with multiple enrollment profiles on the device. Multiple enrollment profiles may include separate profiles for different appearances of a user and/or separate profiles for different users authorized to use the device. The enrollment profiles may be generated using an enrollment process where the enrollment process is operated separately to generate each of the different enrollment profiles. During the facial recognition authentication process, a user may unlock the device by having a matching score for image(s) captured of the user that that exceeds an unlock threshold for at least one of the enrollment profiles. The user may have a matching score that exceeds the unlock threshold for multiple enrollment profiles. Each enrollment profile unlocks the device for the user may be updated using a template update process that operates independently for each enrollment profile.

    DETERMINING SPARSE VERSUS DENSE PATTERN ILLUMINATION

    公开(公告)号:WO2019027506A1

    公开(公告)日:2019-02-07

    申请号:PCT/US2018/015594

    申请日:2018-01-26

    Applicant: APPLE INC.

    Abstract: An estimate of distance between a user and a camera on a device is used to determine an illumination pattern density used for speckle pattern illumination of the user in subsequent images. The distance may be estimated using an image captured when the user is illuminated with flood infrared illumination. Either a sparse speckle (dot) pattern illumination pattern or a dense speckle pattern illumination pattern is used depending on the distance between the user's face and the camera.

    ROBUST FACE DETECTION
    8.
    发明申请

    公开(公告)号:WO2019236286A1

    公开(公告)日:2019-12-12

    申请号:PCT/US2019/033364

    申请日:2019-05-21

    Applicant: APPLE INC.

    Abstract: A neural network may implement a face detection process (250) on a mobile device or computer system. An image captured using a camera on the device may be processed using the face detection process (250). The face detection process may provide a bounding box for the face detected in the image. The face detected in the image may have any orientation. The face detected in the image may include either a whole face of the user or only a partial face of the user. The face detection process may provide face detection that is substantially invariant to exposure in the captured image. The face may also be detected over a wide range of distances between the camera and the face of the user.

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