Image registration for quality assessment of projection displays

In the full reference metric based image quality assessment of projection displays, it is critical to achieve accurate and fully automatic image registration between the captured projection and its reference image in order to establish a subpixel level mapping. The preservation of geometrical order as well as the intensity and chromaticity relationships between two consecutive pixels must be maximized. The existing camera based image registration methods do not meet this requirement well. In this paper, we propose a markerless and view independent method to use an un-calibrated camera to perform the task. The proposed method including three main components: feature extraction, feature expansion and geometric correction, and it can be implemented easily in a fully automatic fashion. The experimental results of both simulation and the one conducted in the field demonstrate that the proposed method is able to achieve image registration accuracy higher than 91% in a dark projection room and above 85% with ambient light lower than 30 Lux.