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.

    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.

    ROBUST FACE DETECTION
    3.
    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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