相机标定(camera calibration)是计算机视觉(visi

Camera calibration (camera calibration) is a computer vision (vision) basis for three-dimensional (3D) measurement technology, three-dimensional measurement technology, camera calibration of all calibration premise. Camera three-dimensional feature points of the object space (three-dimensional feature points) in a two-dimensional image presentation (project ... on) on the imaging plane (imaging plane), then the two-dimensional image and the three-dimensional feature point correspondence determining points various parameters of the camera imaging model. We determine the parameters camera imaging model (parameter) is called camera calibration. Including inside the optical camera calibration parameters and camera calibration in a calibration position in the three-dimensional space coordinate system (coordinate system) of. This paper reviews the working principle (review) camera, camera calibration model, camera calibration method of classification, large field of view camera (large visual field camera) fast camera calibration method and calibration error factor (error factor) analysis. Subsequent analysis of the camera work calibrated a substantial effect error factor of the camera calibration method, camera calibration.

Camera calibration is the basis of computer vision (vision) 3D measurement technology, in which the camera calibration is the prerequisite for all calibration. The camera renders the three-dimensional feature points of a space object (three-dimensional feature points) in two-dimensional images (project... on the imaging plane, the two-dimensional image pointcorresponding to the three-dimensional feature point sits to determine the parameters in the camera imaging model. We refer to the process of determining the parameters (parameters) in the camera imaging model as camera calibration. Camera calibration includes the calibration of internal optical characteristics parameters and the calibration of the camera's position in the 3D spatial coordinate system. This paper summarizes the working principle of the camera, the camera calibration model, the classification of camera calibration method, the large field of view camera rapid calibration method, and the analysis of the camera calibration error factor ( error factor). The camera calibration method and camera calibration error factor analysis have a substantial effect on the subsequent research on camera calibration.

Camera calibration is the basis of computer vision 3D measurement technology. In 3D measurement technology, camera calibration is the premise of all calibration. The camera presents three-dimensional feature points of space objects as two-dimensional images On) on the imaging plane, two-dimensional image points corresponding to three-dimensional feature points are used to determine the parameters of the camera imaging model. We call the process of determining the parameters in the camera imaging model camera calibration. Camera calibration includes calibration of internal optical parameters and camera position in coordinate system. This paper summarizes the working principle, camera calibration model, camera calibration method classification, large visual field camera fast calibration method and camera calibration error factor analysis. The camera calibration method and the analysis of the camera calibration error factors have a substantial role in the subsequent research of camera calibration work.<br>