融合自适应权重和置信传播的立体匹配算法

An Algorithm Fusion of Adaptive Support-weight Approach and Belief Propagation for Stereo Matching

为了提高传统置信传播立体匹配算法在深度不连续区域的准确率问题,该文提出一种融合局部自适应权重和置信传播的立体匹配算法。该方法采用改进的局部自适应权重算法,获得初始视差估计,通过左右一致性检测出不可信象素点;对分割后的图像,采用新的消息传播策略,进行消息的不对称传递。实验结果表明,该算法对深度不连续和弱纹理区域均有较好的匹配结果,能获得比较理想的视差图。

An algorithm fusion of local adaptive support-weight approach and belief propagation is proposed to resolve the inaccuracy among the depth discontinues area.Using improved local adaptive support-weight approach to get initial disparity,to detect unlikely pixels with cross-check technology,and to segment image by using new strategy with unsymmetrical messages propagating.The experimental results indicate that the algorithm has a better performance in low texture and depth discontinues region.