A Calibration Method for the Generalized Imaging Model with Uncertain Calibration Target Coordinates

The developments in optical metrology and computer vision require more advanced camera models. Their geometric calibration is of essential importance. Usually, low-dimensional models are used, which however often have insufficient accuracy for the respective applications. A sophisticated approach uses generalized model. Here, each pixel described individually by its ray properties. Our efforts this article strive to improve Hence, we propose a new calibration. Moreover, show how immense number parameters can be efficiently calculated measurement uncertainties reference features effectively utilized. We demonstrate benefits our method through an extensive evaluation different cameras, namely standard webcam microlens-based light field camera.