IDENTIFYING PARTIALLY COVERED OBJECTS UTILIZING MACHINE LEARNING

    公开(公告)号:US20220100989A1

    公开(公告)日:2022-03-31

    申请号:US17469630

    申请日:2021-09-08

    Applicant: Apple Inc.

    Abstract: Techniques are disclosed for determining the presence of a particular person based on facial characteristics. For example, a device may include a first image in a reference set of images based on determining that a face shown in the first image is not covered by a face covering. A trained model of the device may determine a first set of characteristics from the first image, whereby the trained model is trained utilizing simulated face coverings to match a partially covered face of a particular person with a non-covered face of the particular person. The device may also determine a second set of characteristics associated with a face of a second person based on a second image. The trained model may then determine a score corresponding to a level of similarity between both sets of characteristics, and then determine whether the first person is the second person based on the score.

    IMAGE CAPTURE TECHNIQUES PERSONALIZED TO INDIVIDUAL SUBJECTS BEING IMAGED

    公开(公告)号:US20220058795A1

    公开(公告)日:2022-02-24

    申请号:US16999236

    申请日:2020-08-21

    Applicant: Apple Inc.

    Abstract: Methods and apparatuses are disclosed to personalize image capture operations of imaging equipment according to models that correspond uniquely to subjects being imaged. According to these techniques, a subject's face may be detected from a first image supplied by an image source and a first model of the subject may be developed from the detected face. The first model of the subject may be compared to another model of the subject developed from other images. Image adjustment parameters may be generated from a comparison of these models, which may control image adjustment techniques that are applied to the newly captured image of the subject. In this manner, aspects of the present disclosure may generate image capture operations that are tailored to characteristics of the subjects being imaged and avoid artifacts that otherwise could cause image degradation.

    Identity recognition utilizing face-associated body characteristics

    公开(公告)号:US12154386B2

    公开(公告)日:2024-11-26

    申请号:US17743416

    申请日:2022-05-12

    Applicant: Apple Inc.

    Abstract: Techniques are disclosed for providing a notification indicating an identity of a first person based on face-associated body characteristics. For example, a device performs facial recognition to identify the identity of the first person shown in a first video feed. The device also identifies and stores physical characteristic information of the first person from the first video feed, the stored information associated with the identity of the first person based on the recognized face. Subsequently, the device receives a second video feed showing a second person whose face is determined to not be recognized by the device. The device compares the stored physical characteristic information of the first person with additional physical characteristic information of the second person shown in the second video feed. Based on the comparison, the device provides a notification indicating whether the identity of the second person corresponds to the identity of the first person.

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