Face synthesis using generative adversarial networks

    公开(公告)号:US10762337B2

    公开(公告)日:2020-09-01

    申请号:US15992945

    申请日:2018-05-30

    Applicant: Apple Inc.

    Abstract: Training a generative adversarial network (GAN) for use in facial recognition, comprising providing an input image of a particular face into a facial recognition system to obtain a faceprint; obtaining, based on the input faceprint and a noise value, a set of output images from a GAN generator; obtaining feedback from a GAN discriminator, wherein obtaining feedback comprises inputting each output image into the GAN discriminator and determining a set of likelihood values indicative of whether each output image comprises a facial image; determining, based on each output image, a modified noise value; inputting each output image into a second facial recognition network to determine a set of modified faceprints; defining, based on each modified noise value and modified faceprint, feedback for the GAN generator, wherein the feedback comprises a first value and a second value; and modifying control parameters of the GAN generator.

    IDENTITY RECOGNITION UTILIZING FACE-ASSOCIATED BODY CHARACTERISTICS

    公开(公告)号:US20250037510A1

    公开(公告)日:2025-01-30

    申请号:US18919080

    申请日:2024-10-17

    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.

    IDENTITY RECOGNITION UTILIZING FACE-ASSOCIATED BODY CHARACTERISTICS

    公开(公告)号:US20230013117A1

    公开(公告)日:2023-01-19

    申请号:US17951918

    申请日:2022-09-23

    Applicant: Apple Inc.

    Abstract: Techniques are disclosed for determining whether to include a bodyprint in a cluster of bodyprints associated with a recognized person. For example, a device performs facial recognition to identify the identity of a first person. The device also identifies and stores physical characteristic information of the first person, 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 an image of a second person whose face is also determined to be recognized by the device. The device then generates a quality score for physical characteristics in the image of the user. The device can then add the image with the physical characteristics to a cluster of images associated with the person if the quality score is above a threshold, or discard the image if not.

    Face quality of captured images
    17.
    发明授权

    公开(公告)号:US11514713B2

    公开(公告)日:2022-11-29

    申请号:US16821611

    申请日:2020-03-17

    Applicant: Apple Inc.

    Abstract: The disclosure pertains to techniques for image processing. One such technique comprises a method for image selection, comprising: obtaining a sequence of images, detecting a first face in one or more images of the sequence of images, determining a first location for the detected first face in each of the images having the detected first face, generating a heat map based on the first location of the detected first face in each of the images of the sequences of images, determining a face quality score for the detected first face for each of the one or more images having the detected first face, determining a peak face quality score for the detected first face based in part on the face quality score and the generated heat map, and selecting a first image of the sequence of images, corresponding with the peak face quality score for the detected first face.

    IDENTITY RECOGNITION UTILIZING FACE-ASSOCIATED BODY CHARACTERISTICS

    公开(公告)号:US20220366727A1

    公开(公告)日:2022-11-17

    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.

    Face Quality of Captured Images
    19.
    发明申请

    公开(公告)号:US20200380243A1

    公开(公告)日:2020-12-03

    申请号:US16821611

    申请日:2020-03-17

    Applicant: Apple Inc.

    Abstract: The disclosure pertains to techniques for image processing. One such technique comprises a method for image selection, comprising: obtaining a sequence of images, detecting a first face in one or more images of the sequence of images, determining a first location for the detected first face in each of the images having the detected first face, generating a heat map based on the first location of the detected first face in each of the images of the sequences of images, determining a face quality score for the detected first face for each of the one or more images having the detected first face, determining a peak face quality score for the detected first face based in part on the face quality score and the generated heat map, and selecting a first image of the sequence of images, corresponding with the peak face quality score for the detected first face.

    Face Synthesis Using Generative Adversarial Networks

    公开(公告)号:US20190332850A1

    公开(公告)日:2019-10-31

    申请号:US15992945

    申请日:2018-05-30

    Applicant: Apple Inc.

    Abstract: Training a generative adversarial network (GAN) for use in facial recognition, comprising providing an input image of a particular face into a facial recognition system to obtain a faceprint; obtaining, based on the input faceprint and a noise value, a set of output images from a GAN generator; obtaining feedback from a GAN discriminator, wherein obtaining feedback comprises inputting each output image into the GAN discriminator and determining a set of likelihood values indicative of whether each output image comprises a facial image; determining, based on each output image, a modified noise value; inputting each output image into a second facial recognition network to determine a set of modified faceprints; defining, based on each modified noise value and modified faceprint, feedback for the GAN generator, wherein the feedback comprises a first value and a second value; and modifying control parameters of the GAN generator.

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