IMAGE PROCESSING METHOD AND APPARATUS
    1.
    发明申请

    公开(公告)号:US20200267297A1

    公开(公告)日:2020-08-20

    申请号:US16865786

    申请日:2020-05-04

    Inventor: Qingbo LU Chen LI

    Abstract: An image processing method includes obtaining two-dimensional coordinate points of an input image, and according to a camera imaging model or a distortion correction model, performing a two-dimension to three-dimension conversion operation on the two-dimensional coordinate points to obtain a first processing result. The method also includes performing at least one of virtual reality processing or electronic image stabilization on the first processing result to obtain a second processing result, and mapping the second processing result to a two-dimensional image coordinate system to obtain an output image.

    ZOOMING METHOD AND APPARATUS FOR IMAGE ACQUISITION DEVICE

    公开(公告)号:US20240267613A1

    公开(公告)日:2024-08-08

    申请号:US18613779

    申请日:2024-03-22

    CPC classification number: H04N23/632 H04N23/675 H04N23/69 H04N23/815 H04N23/90

    Abstract: A method of zooming an image capturing device may comprise outputting a first image collected by a first camera of an image capturing device, wherein the first camera has a first focal length; controlling switching of the current focal length of the image capturing device from the first focal length supported by the first camera to a second focal length supported by a second camera of the image capturing device; and outputting a second image collected by the second camera while maintaining a position of a target object in the second image to be the same as a position of the target object in the first image. The first focal length and the second focal length are not identical.

    MULTI-OBJECT TRACKING BASED ON LIDAR POINT CLOUD

    公开(公告)号:US20200057160A1

    公开(公告)日:2020-02-20

    申请号:US16664331

    申请日:2019-10-25

    Inventor: Chen LI Lu MA

    Abstract: A light detection and ranging (LIDAR) based object tracking system includes a plurality of light emitter and sensor pairs and an object tracker. Each pair of the plurality of light emitter and sensor pairs is operable to obtain data indicative of actual locations of surrounding objects. The data is grouped into a plurality of groups by a segmentation module. Each group corresponds to one of the surrounding objects. The object tracker is configured to (1) build a plurality of models of target objects based on the plurality of groups, (2) compute a motion estimation for each of the target objects, and (3) feed a subset of data back to the segmentation module for further grouping based on a determination by the object tracker that the subset of data fails to map to a corresponding target object in the model.

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