METHOD FOR MATCHING IMAGE FEATURE POINT, ELECTRONIC DEVICE AND STORAGE MEDIUM

    公开(公告)号:US20220351495A1

    公开(公告)日:2022-11-03

    申请号:US17865261

    申请日:2022-07-14

    Abstract: A method for matching an image feature point, an electronic device, and a storage medium are provided. The method may include: for images in an acquired image sequence, performing operations including: obtaining a mapping image of a current image based on mapping transformation information between adjacent images before the current image; determining in the mapping image a target area for matching with a feature point in a last image frame prior to the current image; matching the feature point in the last image frame with a feature point in the target area corresponding to the feature point, to determine matching information between the feature point of the current image and the feature point of the last image frame; and determining mapping transformation information between the current image and the last image frame, based on the matching information.

    METHOD FOR GENERATING DEPTH MAP, ELECRONIC DEVICE AND STORAGE MEDIUM

    公开(公告)号:US20220215565A1

    公开(公告)日:2022-07-07

    申请号:US17703731

    申请日:2022-03-24

    Abstract: A method for generating a depth map, an electronic device and a storage medium. The method includes: obtaining a point cloud map and a visual image of a scene; generating a first depth value of each pixel in the visual image based on the point cloud map and the visual image; determining a three-dimensional coordinate location of each pixel in a world coordinate system based on a coordinate location and the first depth value of each pixel in the visual image; generating a second depth value of each pixel by inputting the three-dimensional coordinate location and pixel information of each pixel into a depth correction model; and generating the depth map of the scene based on the second depth value of each pixel.

    IMAGE STITCHING
    4.
    发明申请

    公开(公告)号:US20220215507A1

    公开(公告)日:2022-07-07

    申请号:US17552182

    申请日:2021-12-15

    Abstract: An image stitching method and apparatus, a device, and a medium is provided. An implementation solution is: obtaining a first image and a second image, where the first image and the second image have an overlapping area; determining a first stitching line segment of the first image and a second stitching line segment of the second image, where the second stitching line segment has a first matching line segment in the first image; determining a first stitching area of the first image based on the first stitching line segment and the first matching line segment; configuring a first target canvas at least based on the first stitching area; determining, for each pixel of a plurality of pixels included in the first stitching area, a corresponding mapping pixel in the first target canvas; and mapping pixel values of the plurality of pixels included in the first stitching area to the corresponding mapping pixels in the first target canvas, respectively, to obtain an image to be stitched of the first image.

    VISUAL POSITIONING METHOD, RELATED APPARATUS AND COMPUTER PROGRAM PRODUCT

    公开(公告)号:US20230005171A1

    公开(公告)日:2023-01-05

    申请号:US17865260

    申请日:2022-07-14

    Abstract: A visual positioning method and apparatus, an electronic device, a computer readable storage medium, and a computer program product are provided. The method includes: performing contour enhancement processing on an actual building image included in a image for positioning to obtain an actual building contour, and determining location information of a target building matching the actual building contour from a preset contour map, the contour map being obtained by blurring non-building contour information in a real panoramic map, and finally generating a visual positioning result based on the location information.

    TRAINING METHOD AND APPARATUS FOR A TARGET DETECTION MODEL, TARGET DETECTION METHOD AND APPARATUS, AND MEDIUM

    公开(公告)号:US20230099113A1

    公开(公告)日:2023-03-30

    申请号:US17807371

    申请日:2022-06-16

    Abstract: Provided are a training method and apparatus for a target detection model, a target detection method and apparatus, and a medium. A specific implementation includes inputting a sample image into a point cloud feature extraction network of a first target detection model to obtain an image feature of a generation point cloud; inputting the image feature of the generation point cloud into a first bird's-eye view feature extraction network of the first target detection model to obtain a first bird's-eye view feature; inputting the first bird's-eye view feature into a prediction network of the first target detection model to obtain a first detection result; and calculating a first loss according to a standard 3D recognition result of the sample image and the first detection result and training the first target detection model according to the first loss.

    METHOD FOR PROCESSING IMAGE, ELECTRONIC DEVICE AND STORAGE MEDIUM

    公开(公告)号:US20230036294A1

    公开(公告)日:2023-02-02

    申请号:US17936609

    申请日:2022-09-29

    Abstract: Disclosed are a method for processing an image, an electronic device, and a storage medium. The method includes: acquiring a plurality of point cloud grids from a gridded point cloud map; determining each reference plane with the number of sampling points matched being greater than or equal to a threshold from the initial planes corresponding respectively to the plurality of the point cloud grids; correcting the initial planes corresponding respectively to the plurality of point cloud grids based on each reference plane to obtain target planes corresponding respectively to the plurality of point cloud grids; and performing denoise processing on sampling points based on the target plane of each point cloud grid.

    METHOD AND APPARATUS FOR EXTRACTING FEATURE, DEVICE, AND STORAGE MEDIUM

    公开(公告)号:US20230030431A1

    公开(公告)日:2023-02-02

    申请号:US17963865

    申请日:2022-10-11

    Abstract: A method for extracting a feature includes: acquiring a predicted object segmentation annotation image of a (T-1)-th frame in a video and a pixel-level feature map of a T-th frame in the video, T being a positive integer greater than 2; performing respectively feature mapping on the predicted object segmentation annotation image of the (T-1)-th frame and the pixel-level feature map of the T-th frame, to obtain a mapping feature map of the (T-1)-th frame and a mapping feature map of the T-th frame; and performing a convolution on the mapping feature map of the T-th frame using a convolution kernel of the mapping feature map of the (T-1)-th frame, to obtain a score map of the T-th frame.

    METHOD FOR TRAINING MODEL, METHOD FOR PROCESSING VIDEO, DEVICE AND STORAGE MEDIUM

    公开(公告)号:US20220358675A1

    公开(公告)日:2022-11-10

    申请号:US17869161

    申请日:2022-07-20

    Abstract: A method and apparatus for training a model, a method and apparatus for processing a video, a device and a storage medium are provided. An implementation of the method for training a model includes: analyzing a sample video, to determine a plurality of human body image frames in the sample video; determining human body-related parameters and camera-related parameters corresponding to each human body image frame; determining, based on the human body-related parameters, the camera-related parameters and an initial model, predicted image parameters of an image plane corresponding to the each human body image frame, the camera-related parameters and image parameters; and training the initial model based on original image parameters of the human body image frames in the sample video and the predicted image parameters of image planes corresponding to the human body image frames, to obtain a target model.

    THREE-DIMENSIONAL OBJECT DETECTING METHOD, APPARATUS, DEVICE, AND STORAGE MEDIUM

    公开(公告)号:US20210295013A1

    公开(公告)日:2021-09-23

    申请号:US17340809

    申请日:2021-06-07

    Abstract: A three-dimensional object detecting method, apparatus, device, and storage medium, where the method includes: detecting an orientation angle and other parameters of a target object; predicting predicted coordinates of vertices of a bottom surface of the target object under two blocking types respectively; accurately determining a corresponding blocking type of the target object by selecting, based on the orientation angle of the target object, predicted coordinates of vertices of the bottom surface matching the orientation angle; using the predicted coordinates of the vertices of the bottom surface of the target object under the corresponding blocking type as coordinates of the vertices of the bottom surface of the target object; and determining a three-dimensional bounding box of the target object according to the predicted coordinates of the vertices of the bottom surface matching the orientation angle and the three-dimensional parameters of the target object.

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