Camera Calibration with Single Image Based on Two Orthogonal One-Dimensional Objects

A novel method for camera calibration based on micro plane grid

“…high-precision three-dimensional control field, in which a large amount of three-dimensional point coordinates needs to be measured through rigorous methods with precision instruments. The calibration method based on one-dimensional reference objects [2,3] and vanishing points [4,5] are flexible and convenient, whereas with low accuracy because the absolutely orthogonal one-dimensional calibration objects are required and few redundant observation can be used. In contrast with the two former reference objects, the construction of two-dimensional plane fields is much easier than that of three-dimensional control fields.…”

Camera Calibration of Binocular Vision Based on Virtual 1D Target

“…Compared to 3D and 2D target, 1D target can avoid self-occlusion and offer merits such as convenient application and field adaptability. Therefore, 1D target receives wide concerns in field calibration of binocular vision system [7][8][9] . Reference [7] proposed a new camera calibration method based on two 1D targets to complete the calibration of camera with large field of view.…”

“…This method can simultaneously realize intrinsic and extrinsic parameter calibrations for camera. Reference [8] investigated camera calibration method by utilizing a T-shaped target of two orthogonal 1-D targets. This method requires only one projected image of 5 points with known coordinates on the T-shaped target to calibrate camera intrinsic and extrinsic parameters.…”