Two slightly different projections of the same scene allow the stereovision algorithms to reconstruct its 3D structure and to estimate the distance to particular object. However commonly used real-time correlation-based solutions usually suffer from inaccuracy. Therefore, finding an efficient and accurate algorithm for depth reconstruction is still a challenging task to do. The approach to stereo matching, presented in this paper is described as a problem of correlating different local observations that evaluate the dissimilarities between left and right images in order to obtain smooth and more accurate depth map. The results obtained with the proposed method are evaluated and compared with other state of the art methods.
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