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公开(公告)号:US20240259549A1
公开(公告)日:2024-08-01
申请号:US18560030
申请日:2022-04-24
Applicant: Beijing Zitiao Network Technology Co., Ltd.
Inventor: Xi SUN , Hengkai GUO
CPC classification number: H04N17/002 , G06T7/80 , G06T2207/10016
Abstract: Embodiments of the present disclosure relate to a calibration verification method for a camera intrinsic parameter, an apparatus, a device, and a medium. The method includes: acquiring a plurality of reference images photographed by a target camera with a plurality of reference world coordinates under a preset photographing condition, wherein the camera intrinsic parameter of the target camera is calibrated; determining, a first coordinate change parameter corresponding to the plurality of reference world coordinates according to the preset photographing condition, and determining a second coordinate change parameter of the plurality of reference images according to a preset algorithm; determining whether the second coordinate change parameter is consistent with the first coordinate change parameter; and if the second coordinate change parameter is consistent with the first coordinate change parameter, feeding back a verification message indicating successful calibration of the camera intrinsic parameter.
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公开(公告)号:US20240161392A1
公开(公告)日:2024-05-16
申请号:US18283705
申请日:2022-03-30
Applicant: Beijing Zitiao Network Technology Co., Ltd.
Inventor: Xi SUN , Zhenbo SONG , Yongjie ZHANG
CPC classification number: G06T17/00 , G06T7/74 , G06T19/20 , G06T2207/20081 , G06T2207/20221 , G06T2207/30244 , G06T2210/56 , G06T2219/2004
Abstract: Disclosed are a point cloud model processing method and apparatus, and a readable storage medium. The method includes: acquiring a target image pair and first and second neighborhood images corresponding to the target image pair from first and second image sets photographed for a target scene with different visual effects; performing a calculation to obtain a merge parameter based on the relationship among the target image pair, the first neighborhood image, the second neighborhood image, a first point cloud model, and a second point cloud model; and merging the first point cloud model and the second point cloud model based on the merge parameter to obtain a target point cloud model for reconstructing a three-dimensional structure of the target scene.
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