Video Stabilization
    11.
    发明公开
    Video Stabilization 审中-公开

    公开(公告)号:US20230336873A1

    公开(公告)日:2023-10-19

    申请号:US18210812

    申请日:2023-06-16

    申请人: Google LLC

    摘要: Methods, systems, and apparatus, including computer programs stored on a computer-readable storage medium, for video stabilization. In some implementations, a computer system obtains frames of a video captured by a recording device using an optical image stabilization (OIS) system. The computing system receives (i) OIS position data indicating positions of the OIS system during capture of the frames, and (ii) device position data indicating positions of the recording device during capture of the frames. The computing system determines a first transformation for a particular frame based on the OIS position data for the particular frame and device position data for the particular frame. The computing system determines a second transformation for the particular frame based on the first transformation and positions of the recording device occurring after capture of the particular frame. The computing system generates a stabilized version of the particular frame using the second transformation.

    Systems and methods of validating motion correction of medical images for quantitative parametric maps

    公开(公告)号:US11688044B2

    公开(公告)日:2023-06-27

    申请号:US17168835

    申请日:2021-02-05

    IPC分类号: G06T5/00

    摘要: A computer-implemented method of validating motion correction of magnetic resonance (MR) images in a quantitative parametric map of a parameter is provided. The method includes receiving a series of motion corrected images of a series of MR images, wherein the series of MR images are MR images of an anatomical region at different points of time. For each pixel of a plurality of pixels in one of the series of motion corrected images, the method further includes generating a time series at the pixel based on the series of motion corrected images, fitting the time series to a model of the parameter, and estimating an indicator of goodness of fit of the time series to the model. The method also includes generating a metric indicating effectiveness of the motion correction based on estimated indicators of goodness of fit of the plurality of pixels, and validating the motion correction based on the metric.