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机构地区:[1]福州大学平板显示技术国家地方联合工程实验室,福建福州350002
出 处:《电视技术》2015年第11期1-5,49,共6页Video Engineering
基 金:国家"863"重大专项(2012AA03A301;2013AA030601);国家自然科学基金项目(61101169)
摘 要:针对Yoon经典自适应加权法在深度不连续处误匹配率较高、边缘细节不突出以及匹配窗口大小凭经验设计不通用等缺陷,提出了一种改进自适应加权的局部立体匹配算法。在经典自适应加权局部立体匹配算法的基础上用高斯分布权值替换了几何空间权值,增加了边缘权值突出深度不连续处的边缘细节,采用赢家通吃原则(Winner Take All,WTA)获取单像素点视差,在目标视图中逐点求取视差,最终获得稠密视差图。实验结果表明,该算法相比于经典自适应加权法,在非遮挡区域错误匹配百分比上下降6%,在深度不连续处的误匹配率降低了5%,边缘细节毛刺明显减少。With problems of Yoon's classical local stereo matching algorithm,which are high error rate of disparity discontinuous region,unconspicuous detail of edge and matching windows designed by experience which is not universal,a local stereo matching algorithm based on improved adaptive support-weightis proposed.Referring to the classical local stereo matching algorithm based on adaptive support-weight,the improved algorithm uses the Gaussian distribution replace distance weight,edge weight is added to highlight edge detail of disparity discontinuous region,the winner-take-all rule is used to get disparity of single pixel,then getting the disparity of each pixel,finally a dense disparity map is obtained.Results of the experiment reveal that the algorithm's error rate of Non-occluded region is about 6% lower than traditional adaptive matching algorithm and error rate of disparity discontinuous region is about 5% lower and the burrs on edge are less.
关 键 词:立体匹配 自适应加权法 视差图 高斯分布权值 边缘权值
分 类 号:TP751[自动化与计算机技术—检测技术与自动化装置]
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