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。
应用推荐