Sparse IBR Using Range Space Rendering

In this paper, we propose a new solution to the sparse image-based rendering (IBR) problem. Given two images taken from different viewpoints, our algorithm can accurately generate images from new viewpoints in between the original two views. This paper contributes to the sparse IBR in the following aspects: (1) Direct range space matching and multiple depth maps rendering. (2) Good rendering can be achieved with incorrect depth values, especially those textureless regions.(3) An efficient coarse-to-fine strategy to accelerate rendering and avoid problems caused by repetitive patterns. (4) A weak scene consistency constraint to simultaneously refine the rendering results and detect the occlusions. The proposed algorithm has been implemented and tested on real images and promising experimental results are demonstrated in the paper.