计算机视觉
人工智能
摄像机自动校准
计算机科学
视野
旋转(数学)
坐标系
立体摄像机
针孔相机模型
缩放
欧拉角
光学
摄像机切除
立体视觉
双眼视觉
计算机立体视觉
物理
镜头(地质)
量子力学
作者
Yue Wang,Xiangjun Wang
出处
期刊:Optics Express
[The Optical Society]
日期:2021-02-02
卷期号:29 (4): 4986-4986
被引量:12
摘要
A dynamic binocular stereo vision (DBSV) based on a non-zoom rotating camera in a large field of view (FOV) is established herein. A novel two-point method is proposed to estimate the initial parameters of the camera quickly. The intrinsic parameters and roll angle of each camera remains constant, and the pitch and yaw angles after the camera rotates are directly estimated from output of high-precision two-axes platform, which makes it possible that three-dimensional (3D) coordinate can be measured online after rotation. Moreover, a target matching algorithm based on moving DLT is proposed to achieve automatic alignment of the camera. The accuracy of 3D coordinate measurement is evaluated on various synthetic and real data, and the DBSV is suitable for occasions where extremely high accuracy is not required in large FOV.
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