Multi-Camera Calibration with One-Dimensional Object under General Motions

Global calibration of non-overlapping cameras: State of the art

“…A calibration target is a workpiece with high precision and can be used for feature extraction and precision verification in camera calibration [14,15,[19][20][21]23,[25][26][27][28]32,81]. Planar calibration target is the most widely used calibration target, whose plane consistency is good, and features are easy to extract.…”

An adaptively weighted algorithm for camera calibration with 1D objects

“…To evaluate the accuracy of the proposed WNLS, the relative errors of estimated camera parameters with respect to focal length f u , as used in [11], are computed. For comparison, the NLS and the OPTIM are also used to calibrate the same camera.…”

“…This process is usually a necessary step in extracting 3D metric information from 2D images in many computer vision applications [1][2][3]. Depending on the dimensions of calibration objects, camera calibration techniques can be roughly classified into four categories: 3D calibration [4], 2D calibration [5], 1D calibration [6][7][8][9][10][11][12][13][14][15][16] and 0D calibration or self-calibration [17,18,1]. In self-calibration, only correspondences between image points are used, without any calibration object.…”

“…They [10] also improved the accuracy of Wu's method by identifying and avoiding critical configurations. Wang et al [11] eliminated the motion constraints on a 1D object for multi-camera calibration and proposed a multicamera calibration algorithm with a 1D object undergoing free motion. With some prior knowledge of the camera parameters, Miyagawa et al [12] calibrated a camera with only a single image of two orthogonal 1D objects that shared one point.…”

Cayley Transformation and Numerical Stability of Calibration Equation

“…The existing methods can be roughly classified into two categories: methods based on a reference calibration object and self-calibration methods. In the first kind, there are mainly the methods based on 3D object (Brown 1971;Faig 1975;Tsai 1986;Faugeras 1993), 2D pattern (Zhang 1999(Zhang , 2000Sturm and Maybank 1999) and 1D object (Zhang 2004;Wu et al 2005;Wang et al 2007). In these methods, camera calibration is performed by observing a 3D calibration object, a 2D calibration pattern or a 1D calibration object.…”