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。
Obviously, it is not reasonable we use standard belief propagation algorithm in space time system.
如果在空时系统中沿用标准的置信度传播译码算法不太合理。
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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