针对当前全局立体匹配算法效率低下以及在遮挡区域难以准确匹配的问题，提出了一种高效的基于分层置信度传播的立体匹配新方法。该方法首先采用高效局部匹配获得初始匹配代价，并根据初始匹配的结果检测遮挡和误匹配像素；其次，使用平面化估计的结果对初始代价进行了修正，改善了遮挡区域的匹配效果；最后使用改进的分层置信度传播快速估计最小化能量，降低了低纹理区域的误匹配，提高了整体的平滑度。实验结果表明，该方法在精度和速度上具有较高的性能。

Aiming at the problem of low efficiency and mismatching caused by occlusion in global stereo matching, this paper proposes a novel method of stereo matching with high efficiency, which is based on hierarchical belief-propagation. First, this method obtains initial matching cost from local stereo matching, and occlusion and mismatched pixels are checked out by initial disparity. Then, the result of plane estimation is used to correct the initial cost, thus pixels in occlusion region can be refined. At last, in order to reduce the mismatching in low texture region and enhance the smoothness, an improved hierarchical belief-propagation is used to estimate the minimal global energy. Experimental results demonstrate the outstanding performance of the proposed method in accuracy and matching speed.