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.
出处
《北京航空航天大学学报》
EI
CAS
CSCD
北大核心
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)
关键词
光条匹配
立体视觉
三维
光栅
light-stripes matching
binocular vision
three dimensional
rating
