METHOD OF RECTIFYING TEXT IMAGE, TRAINING METHOD, ELECTRONIC DEVICE, AND MEDIUM

    公开(公告)号:US20230102804A1

    公开(公告)日:2023-03-30

    申请号:US18077026

    申请日:2022-12-07

    Abstract: A method of rectifying a text image, a training method, an electronic device, and a medium, which relate to a field of an artificial intelligence technology, in particular to fields of computer vision, deep learning technology, intelligent transportation and high-precision maps. An exemplary implementation includes: performing, based on a gating strategy, a plurality of first layer-wise processing on a text image to be rectified, so as to obtain respective feature maps of a plurality of layer levels, wherein each of the feature maps includes a text structural feature related to the text image to be rectified, and the gating strategy is configured to increase an attention to the text structural feature; and performing a plurality of second layer-wise processing on the respective feature maps of the plurality of layer levels, so as to obtain a rectified text image corresponding to the text image to be rectified.

    METHOD AND APPARATUS FOR PROCESSING IMAGE

    公开(公告)号:US20230052842A1

    公开(公告)日:2023-02-16

    申请号:US17976367

    申请日:2022-10-28

    Abstract: The present disclosure provides a method and apparatus for processing an image. A specific implementation includes: acquiring a top view of a road; identifying a position of a lane line from the top view; cutting the top view into at least two areas, and determining, according to the position of the lane line in each area, a width of a lane in the each area and an average width of the lane in the top view; calculating a first perspective correction matrix by optimizing a first loss function, the first loss function being used to represent a difference between the width of the lane in the each area and the average width of the lane in the top view; and performing a lateral correction on the top view through the first perspective correction matrix to obtain a first corrected image.

    METHOD AND APPARATUS FOR CORRECTING POSITIONING INFORMATION, AND STORAGE MEDIUM

    公开(公告)号:US20230063099A1

    公开(公告)日:2023-03-02

    申请号:US17804081

    申请日:2022-05-25

    Abstract: Provided are a method and apparatus for correcting positioning information, an electronic device and a storage medium, which relate to the field of artificial intelligence, in particular, to intelligent transportation technology and image processing technology. The specific implementation solution includes steps described below. A to-be-corrected image and positioning information of the to-be-corrected image are acquired. A target candidate reference image matching the to-be-corrected image is selected from candidate reference images having accurate positioning information. The positioning information of the to-be-corrected image is corrected according to accurate positioning information of the target candidate reference image. According to the solution of the present disclosure, the positioning information of the to-be-corrected image can be quickly corrected, and a guarantee is provided for accurately updating a navigation map by using the to-be-corrected image subsequently.

    POINT CLOUD REGISTRATION METHOD, APPARATUS, DEVICE AND STORAGE MEDIUM

    公开(公告)号:US20230052072A1

    公开(公告)日:2023-02-16

    申请号:US17973871

    申请日:2022-10-26

    Abstract: A point cloud registration method, apparatus, device, and storage medium are provided. The method includes: acquiring target point cloud data; dividing the target point cloud data into a plurality of point cloud sets; determining a coincidence degree between every two point cloud sets and determining a fixed point cloud set and a registration point cloud set from two point cloud sets with a coincidence degree between the two point cloud sets being greater than a preset threshold; determining a target registration matrix between the fixed point cloud set and the registration point cloud set; and performing registration of the fixed point cloud set with the registration point cloud set according to the target registration matrix.

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