Method and device for calculating parameters of gaze-point calculation model

    公开(公告)号:US11301039B2

    公开(公告)日:2022-04-12

    申请号:US16836054

    申请日:2020-03-31

    IPC分类号: G06F3/01

    摘要: The application discloses a method and a device for calculating parameters of a gaze-point calculation model. The method includes: displaying multiple calibration points in sequence on a device screen, and collecting multiple pupil-coordinates data corresponding to each of at least one calibration point of the multiple calibration points; for each calibration point of the at least one calibration point, screening the multiple pupil-coordinates data corresponding to the calibration point, to obtain at least one pupil-coordinates calibration data corresponding to the calibration point; calculating multiple parameters of the gaze-point calculation model according to coordinates data of each calibration point and the at least one pupil-coordinates calibration data corresponding to the calibration point.

    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.