基于多幅图像的同名曲线亚像素匹配算法  

A Subpixel Matching Algorithm for Curve Correspondences from Images

作　　者：张维中[1] 杨厚俊[1] 张丽艳[2] 油世明[1] 王静[1] 

机构地区：[1]青岛大学信息工程学院,青岛266071 [2]南京航空航天大学CAD／CAM工程研究中心,南京210016

出　　处：《北京邮电大学学报》2008年第4期66-69,共4页Journal of Beijing University of Posts and Telecommunications

基　　金：国家自然科学基金项目(50475041);国家“863计划”项目(2006AA04Z110);山东省教育厅科研计划项目(J07YJ19-2);青岛大学科研启动基金项目

摘　　要：提出了一种基于多幅图像的同名曲线亚像素匹配算法.首先对拟合后的图像曲线离散化,即对图像曲线重采样;然后采用动态规划法对离散后的图像曲线进行初始匹配;最后在图像曲线初始匹配基础上,采用共轭梯度法对图像曲线进行精确匹配.与已有的方法相比较,由于目标曲线采用半自动精确提取,较之手动拾取匹配,提高了重建的精度,同时大大减小了再投影误差.实验验证了本算法是可行的.A subpixel matching algorithm for curve correspondences from images is presented. Firstly, the image curve is discretized as the pixel points. Then the initial point correspondences on the correspondence curves between the different images are performed by dynamic programming. At last, the precise point correspondences on the correspondence curves between the different images are implemented by using the conjugate gradient based on the initial matching. Compared to previous methods, the reconstruction precision is improved since the manual matching between different images is not involved by self-automatic precise extracting the curves. Experiments show that the reprojection error is remarkably reduced by the presented algorithm.

关 键 词：近景摄影测量 图像匹配 亚像素 同名曲线 再投影误差 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]