Abstract
Multiple-camera systems are emerging gradually. In order to let audiences feel comfortable when cameras are switched or when a free viewpoint video generated is shown, colour correction between cameras is necessary. Colour correction has usually two steps; the first step is to adjust camera parameters such as gain, brightness and aperture before capturing, and the second step is to modify captured videos by image processing. This paper deals with the latter step, which does not need a colour pattern board to be prepared, uses SIFT (Scale Invariant Feature Transform) to detect correspondences for occlusion handling, treats RGB channels independently, and transforms the distorted videos with a non-linear function. Our experimental results show that there was a better correlation between the corrected videos than that between captured ones.
