检索规则说明:AND代表“并且”;OR代表“或者”;NOT代表“不包含”;(注意必须大写,运算符两边需空一格)
检 索 范 例 :范例一: (K=图书馆学 OR K=情报学) AND A=范并思 范例二:J=计算机应用与软件 AND (U=C++ OR U=Basic) NOT M=Visual
作 者:谢光辉[1] 魏振忠[1] 刘震[1] 张广军[1]
机构地区:[1]北京航空航天大学仪器科学与光电工程学院,北京100191
出 处:《北京航空航天大学学报》2009年第1期113-116,共4页Journal of Beijing University of Aeronautics and Astronautics
基 金:2007年度教育部新世纪优秀人才培养计划资助项目(NCET-07-0043);国家自然科学基金资助项目(50875014)
摘 要:光栅式双目立体视觉传感器的难点之一在于光条的准确匹配.基于编码方式的光条匹配方法往往需投射多幅图像,或限制最少可见光条数,更严重的是在被测对象深度变化较大时,常出现误匹配.为此,将光栅式双目立体视觉传感器看作两个已经过标定统一的光栅结构光视觉传感器,由这两个光栅结构光视觉传感器测得各光条中心点的三维坐标,并搜索光条中心点集之间距离最小且模型编号相同的光条即为匹配光条.实验表明该方法有效实现了光栅光条的准确匹配.Light-stripe matching is one of the difficulties of raster binocular vision sensor. Usually, matching methods based light-stripe coding require projecting multi-images or viewing minimum stripes in one image. Additionally, when the depth of the measured object has a relatively large range of variety, mismatching will frequently occur. To solve this problem, a new method was presented as follows: The raster binocular stereo vision sensor was regarded as two raster structured-light vision sensors which had been calibrated under the same measurement coordinate system. The 3D coordinates of the light-stripe center points was measured by the two rater structured-light vision sensors respectively. The distances between the light-stripe center point sets were calculated and the ones which had the minimum distance and the same model number were the matching light-stripes. The experiment results indicate the validity of the presented method for light-stripes matching.
分 类 号:TN215[电子电信—物理电子学]
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在链接到云南高校图书馆文献保障联盟下载...
云南高校图书馆联盟文献共享服务平台 版权所有©
您的IP:216.73.216.33