An automated camera calibration framework for desktop vision systems

Abstract

Camera calibration is one of the fundamental problems of machine vision. There have been lots of efforts for providing autonomous calibration algorithms. One of the major problems that put up barrier toward autonomy is feature detection and extraction. In this paper, the architecture of an autonomous camera calibration framework is studied. The autonomy of calibration framework originates in its hardware setup. The applied setup makes automatic feature detection and extraction possible. It is shown that the calibration framework is accurate.