This paper proposes an improved belief propagation algorithm for stereo matching.
给出了一种用于立体图像匹配的改进置信传播算法。
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。
In order to get dense and correct disparity, a stereo matching algorithm based on color and space distance and using belief propagation was proposed.
立体匹配是计算机视觉领域的一个重要研究课题，为了得到准确、稠密的视差图，提出了一种基于颜色与空间距离的置信度传播立体匹配算法。
A two stage belief-propagation(TSBP)decoding algorithm was developed based on trapping set state(TSS)detection to reduce the error floor of low-density parity-check(LDPC)codes.
为了降低低密度奇偶检验码的误码平底，提出一种基于陷阱集状态检测的两级置信度传播译码算法。
ZHANG Y, LOU B. An algorithm fusion of adaptive supportweight approach and belief propagation for stereo matching [J]. Journal of Hangzhou Dianzi University, 2012, 32(2): 10-13.
（张永平，楼斌。融合自适应权重和置信传播的立体匹配算法[J]。杭州电子科技大学学报，2012，32（2）：10-13。
ZHANG Y, LOU B. An algorithm fusion of adaptive supportweight approach and belief propagation for stereo matching [J]. Journal of Hangzhou Dianzi University, 2012, 32(2): 10-13.
（张永平，楼斌。融合自适应权重和置信传播的立体匹配算法[J]。杭州电子科技大学学报，2012，32（2）：10-13。
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