Image segmentation method, image segmentation apparatus, image segmentation device

    公开(公告)号:US11367195B2

    公开(公告)日:2022-06-21

    申请号:US16910754

    申请日:2020-06-24

    IPC分类号: G06K9/00 G06T7/11 G06T7/70

    摘要: An image segmentation method, an image segmentation apparatus, an image segmentation device are provided, the image segmentation method including: extracting, from a current frame of a video image, a skeleton two-dimensional estimation and a skeleton three-dimensional estimation of a human three-dimensional skeleton; obtaining a target three-dimensional skeleton based on the skeleton two-dimensional estimation and the skeleton three-dimensional estimation; implementing image segmentation based on the target three-dimensional skeleton; wherein the human three-dimensional skeleton has multiple nodes, and the video image is a two-dimensional image, when calculating the target three-dimensional skeleton in the current frame, by comprehensively considering the skeleton two-dimensional estimation and skeleton three-dimensional skeleton estimation of the human three-dimensional skeleton in the current frame, the accuracy and robustness of the obtained target three-dimensional skeleton can be improved, thereby improving the accuracy of image segmentation.

    Image processing method and apparatus

    公开(公告)号:US11288838B2

    公开(公告)日:2022-03-29

    申请号:US16531105

    申请日:2019-08-04

    IPC分类号: G06T7/73 G06T7/246

    摘要: An image processing method and an image processing includes, when a current frame contains a target picture, taking the current frame as a reference frame for tracking and taking a set of matching points in the current frame, which match the target picture as an initial set of tracking points, to perform tracking of the target picture; obtaining a next frame and determining a set of tracking points of the next frame based on the initial set of tracking points; determining whether the number of tracking points in the set of tracking points is less than a first preset threshold; and, when the number of tracking points in the set of tracking points is less than the first preset threshold, determining supplementary tracking points and adding the supplementary tracking points to the set of tracking points.