Best slant-plane estimation based stereo matching algorithm

A novel stereo matching algorithm based on best slant-plane estimation was proposed in this paper in the purpose of eliminating stair-casing which showed up frequently in the slant scene matching process where the window-based matching algorithm was used. In this procedure, a slant parameter vector was randomly attributed to every pixel in the reference image firstly, then, those vectors were iteratively propagated between neighbor pixels followed by a recursively slant-plane parameter refinement process for each pixels in the principle of whether a lower cost could be got under the new slant-plane parameter vectors, until the parameter vectors were converged to the best slant-plane parameter vectors while a sub-pixel disparity was got for each pixel in the reference image. Experiment results indicate the effectiveness of the algorithm, the performance of the algorithm on the slant scene is ranked on top of those state-of-art algorithm which is relatively close to the algorithm proposed here, while the performance on the normal scene is comparable with the state-of-art algorithm.