Area-Based Estimation of Stereo Disparity Using Hierarchical Windows
暂无分享,去创建一个
We propose a new solution to stereo matching which is combined the area-based stereo method using hierarchical windows with the pixel-based stereo methods using global optimization. The areabased method has a problem that the best size of area is unknown. Since the proposed method changes the sizes of windows hierarchically, the local minima problem and a-priori knowledge of the size can be removed. The proposed method brings better robustness in the analysis of stereo images having periodic texture and textureless areas of images, and a scene having abrupt disparity changes, compared to the ordinary stereo method using hierarchical multi-resolution approach.
[1] Naokazu Yokoya,et al. Surface reconstruction from stereo images preserving discontinuities , 1994 .
[2] Riccardo March,et al. Computation of stereo disparity using regularization , 1988, Pattern Recognit. Lett..
[3] Wilfried Brauer,et al. Intensity- and Gradient-Based Stereo Matching Using Hierarchical Gaussian Basis Functions , 1998, IEEE Trans. Pattern Anal. Mach. Intell..