为了解决视差图像的快速、鲁棒配准问题，提出了一种基于小波近似图像和垂直细节图像由粗到精的加权全局配准策略。
To solve the quick and robust registration of parallax images, a coarse-to-fine global registration strategy using the coarse images weighted with detail image was proposed.
在此基础上建立全局能量函数，并采用改进的置信度传播算法进行视差图的求解。
Based on this similarity measure, a global energy function is constructed and the final disparity map is obtained by the improved belief propagation algorithm.
在此基础上建立全局能量函数，并采用改进的置信度传播算法进行视差图的求解。
Based on this similarity measure, a global energy function is constructed and the final disparity map is obtained by the improved belief propagation algorithm.
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