Systems and Methods for Manipulation of Shadows on Portrait Image Frames

    公开(公告)号:US20230351560A1

    公开(公告)日:2023-11-02

    申请号:US17786841

    申请日:2019-12-23

    Applicant: Google LLC

    CPC classification number: G06T5/008 G06T5/50 G06T2207/20081 G06T2207/30201

    Abstract: Systems and methods described herein may relate to potential methods of training a machine learning model to be implemented on a mobile computing device configured to capture, adjust, and/or store image frames. An example method includes supplying a first image frame of a subject in a setting lit within a first lighting environment and supplying a second image frame of the subject lit within a second lighting environment. The method further includes determining a mask. Additionally, the method includes combining the first image frame and the second image frame according to the mask to generate a synthetic image and assigning a score to the synthetic image. The method also includes training a machine learning model based on the assigned score to adjust a captured image based on the synthetic image.

    Estimating Depth Using a Single Camera
    2.
    发明申请

    公开(公告)号:US20200242788A1

    公开(公告)日:2020-07-30

    申请号:US16652568

    申请日:2017-12-05

    Applicant: Google LLC

    Abstract: A camera may capture an image of a scene and use the image to generate a first and a second subpixel image of the scene. The pair of subpixel images may be represented by a first set of subpixels and a second set of subpixels from the image respectively. Each pixel of the image may include two green subpixels that are respectively represented in the first and second subpixel images. The camera may determine a disparity between a portion of the scene as represented by the pair of subpixel images and may estimate a depth map of the scene that indicates a depth of the portion relative to other portions of the scene based on the disparity and a baseline distance between the two green subpixels. A new version of the image may be generated with a focus upon the portion and with the other portions of the scene blurred.

    Estimating depth using a single camera

    公开(公告)号:US11210799B2

    公开(公告)日:2021-12-28

    申请号:US16652568

    申请日:2017-12-05

    Applicant: Google LLC

    Abstract: A camera may capture an image of a scene and use the image to generate a first and a second subpixel image of the scene. The pair of subpixel images may be represented by a first set of subpixels and a second set of subpixels from the image respectively. Each pixel of the image may include two green subpixels that are respectively represented in the first and second subpixel images. The camera may determine a disparity between a portion of the scene as represented by the pair of subpixel images and may estimate a depth map of the scene that indicates a depth of the portion relative to other portions of the scene based on the disparity and a baseline distance between the two green subpixels. A new version of the image may be generated with a focus upon the portion and with the other portions of the scene blurred.

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