A Computationally Efficient Framework for 3D Warping Technique

Image-based rendering (IBR) techniques produce realistic-looking 3D graphics at a relatively low cost. The 3D image warping technique is particularly appropriate for such an implementation, because it requires a relatively small input data set. In this paper, we propose a computationally efficient framework for 3D image warping technique. This includes a function that maps the visible points in a reference image to their correct positions in any desired view. The mapping of reference image to desired image is determined by the center-of-projection and pinhole-camera model of the two images and by a generalized disparity value associated with each point in the reference image. In the proposed approach, we perform the restructuring of warping order cases and utilize scan line coherency to do this mapping efficient. Through experimental results it has been proved that the proposed technique is computationally better than the existing 3D warping technique.