Automatic Calibration of Cameras with Special Motions
Department of Electrical and Computer Engineering, Johns Hopkins University
We consider the problem of auto-calibrating the intrinsic parameters of a camera moving with a special motion: the rotation axis of the camera being perpendicular to its translation direction. Our method for calibrating the camera is based on Kruppa’s equation which in general requires solving a set of nonlinear equations. We prove in a theorem how to recover the true scale of the Kruppa’s equation from the eigenvalues of a matrix formed using the fundamental matrix between two views.