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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, the authors 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.
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