Visual Localization Method and Apparatus

    公开(公告)号:US20230089845A1

    公开(公告)日:2023-03-23

    申请号:US18070862

    申请日:2022-11-29

    Abstract: A visual localization method includes obtaining an image captured by a terminal device; obtaining two-dimensional line feature information of the image that includes at least one of information about a boundary between a building and a non-building or information about a boundary between a non-building and a non-building; and determining a localization pose of the terminal device based on location information of the terminal device, magnetometer angle deflection information of the terminal device, a satellite map, and the two-dimensional line feature information.

    Optical Imaging Method and Apparatus
    2.
    发明申请

    公开(公告)号:US20190355108A1

    公开(公告)日:2019-11-21

    申请号:US16347146

    申请日:2016-12-22

    Abstract: This application provides an imaging method. The imaging method is applied to an imaging apparatus including a color camera and a black-and-white camera, and resolution of the black-and-white camera is higher than resolution of the color camera; and the imaging method includes: obtaining a zoom magnification; simultaneously capturing a color image and a black-and-white image of a target scene, where resolution of the black-and-white image is higher than resolution of the color image; performing cropping processing on the black-and-white image and the color image separately based on the zoom magnification, where the cropped black-and-white image and the cropped color image have a same field of view; and merging the cropped color image and the cropped black-and-white image to obtain an output image of the target scene. Therefore, according to the optical imaging method provided by embodiments of this application, the obtained output image can have a better optical zoom capability.

    Image processing method and device using reprojection error values

    公开(公告)号:US10262400B2

    公开(公告)日:2019-04-16

    申请号:US15522930

    申请日:2014-10-31

    Abstract: The present disclosure discloses an image processing method including acquiring a distorted image of a photographed object; selecting according to a mapping relationship between at least one group of lens optical distortion models and reprojection error values, a lens optical distortion model whose reprojection error value is less than a specified threshold; and correcting, by using the lens optical distortion model, an optical distortion of the acquired distorted image, and obtaining an image with the optical distortion corrected disclosure.

    Method and Apparatus for Calculating Dual-Camera Relative Position, and Device

    公开(公告)号:US20180150973A1

    公开(公告)日:2018-05-31

    申请号:US15572375

    申请日:2016-03-09

    Abstract: A method for calculating a dual-camera relative position provided in the present disclosure includes obtaining M groups of dual-camera images, where each group of dual-camera images in the M groups includes two images obtained by photographing a same scene by dual cameras at the same time, screening the M groups of dual-camera images to obtain Q groups of dual-camera images that can be used to calculate the dual-camera relative position, obtaining dual-camera relative position parameters corresponding to each group of dual-camera images in the Q groups according to each group of dual-camera images in the Q groups, and obtaining optimal dual-camera relative position parameters from the Q groups of dual-camera relative position parameters. Therefore, the dual-camera relative position can be calculated when a scene is relatively difficult to recognize.

    Image Processing Method and Device
    5.
    发明申请

    公开(公告)号:US20170330308A1

    公开(公告)日:2017-11-16

    申请号:US15522930

    申请日:2014-10-31

    CPC classification number: G06T5/002 G06T5/006 H04N5/3572

    Abstract: The present disclosure discloses an image processing method including acquiring a distorted image of a photographed object; selecting according to a mapping relationship between at least one group of lens optical distortion models and reprojection error values, a lens optical distortion model whose reprojection error value is less than a specified threshold; and correcting, by using the lens optical distortion model, an optical distortion of the acquired distorted image, and obtaining an image with the optical distortion corrected disclosure.

    Optical imaging method and apparatus

    公开(公告)号:US10810720B2

    公开(公告)日:2020-10-20

    申请号:US16347146

    申请日:2016-12-22

    Abstract: This application provides an imaging method. The imaging method is applied to an imaging apparatus including a color camera and a black-and-white camera, and resolution of the black-and-white camera is higher than resolution of the color camera; and the imaging method includes: obtaining a zoom magnification; simultaneously capturing a color image and a black-and-white image of a target scene, where resolution of the black-and-white image is higher than resolution of the color image; performing cropping processing on the black-and-white image and the color image separately based on the zoom magnification, where the cropped black-and-white image and the cropped color image have a same field of view; and merging the cropped color image and the cropped black-and-white image to obtain an output image of the target scene. Therefore, according to the optical imaging method provided by embodiments of this application, the obtained output image can have a better optical zoom capability.

    Method and apparatus for calculating dual-camera relative position, and device

    公开(公告)号:US10559090B2

    公开(公告)日:2020-02-11

    申请号:US15572375

    申请日:2016-03-09

    Abstract: A method for calculating a dual-camera relative position provided in the present disclosure includes obtaining M groups of dual-camera images, where each group of dual-camera images in the M groups includes two images obtained by photographing a same scene by dual cameras at the same time, screening the M groups of dual-camera images to obtain Q groups of dual-camera images that can be used to calculate the dual-camera relative position, obtaining dual-camera relative position parameters corresponding to each group of dual-camera images in the Q groups according to each group of dual-camera images in the Q groups, and obtaining optimal dual-camera relative position parameters from the Q groups of dual-camera relative position parameters. Therefore, the dual-camera relative position can be calculated when a scene is relatively difficult to recognize.

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