计算机工程2013，Vol.39Issue(7)：257-260,278,5.DOI:10.3969/j.issn.1000-3428.2013.07.057
基于图像区域分割和置信传播的立体匹配算法
Stereo Matching Algorithm Based on Image Region Segmentation and Belief Propagation
摘要
Abstract
As the high error matching rates of the traditional pixel-based matching algorithm,a stereo matching algorithm based on image region segmentation and Belief Propagation(BP) is proposed.The mean shift algorithm is applied to segment the reference image into regions with homogeneous color,and the initial disparity of each pixel is calculated by means of the adaptive weights approaches.The disparity plane parameters are collected by plane model fitting on each segmented region.The ultimate disparity map is acquired by calculated the regional optimal disparity plane,which uses the improved region-based belief propagation algorithm.Compared with the pixel-based global optimization algorithms such as classical BP and Graph Cut(GC) algorithm,this algorithm can greatly reduce the error matching rates especially in textureless regions and occluded regions.关键词
立体匹配/视差/均值偏移/图像区域分割/平面拟合/置信传播Key words
stereo matching/ disparity/ mean shift/ image region segmentation/ plane fitting/ Belief Propagation(BP)分类
信息技术与安全科学引用本文复制引用
张惊雷,王艳姣..基于图像区域分割和置信传播的立体匹配算法[J].计算机工程,2013,39(7):257-260,278,5.基金项目
天津市教委科技发展基金资助项目(20090718) （20090718）
