Evaluation of camera calibration performance with a computer-based camera model

Cameras are employed over an increasing range of fields as an instrument of measure. Camera calibration methods are the processes that provide the accurate mathematical relationship between the image and the world by estimating camera parameters. The measure of accuracy for this process is the difference between world points and back projected points.; broad range of camera models to accurately generate synthetic data as input to camera calibration methods. MatCam is employed to evaluate calibration methods by comparing estimated to known camera parameters and the mean error between world points and back projected points.; Tsai's non-coplanar calibration method is studied as an example of the value provided by MatCam in assessing the accuracy of parameter estimation and parameter reaction to effects of error sources. MatCam accurately generated synthetic input data and provided an error tolerance for the measurement of world points.