北京邮电大学学报

  • EI核心期刊

北京邮电大学学报 ›› 2008, Vol. 31 ›› Issue (4): 66-69.doi: 10.13190/jbupt.200804.66.027

• 论文 • 上一篇    下一篇

基于多幅图像的同名曲线亚像素匹配算法

张维中1,杨厚俊1,张丽艳2,油世明1,王 静1   

  1. 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
  • 收稿日期:2007-09-09 修回日期:1900-01-01 出版日期:2008-08-30 发布日期:2008-08-30
  • 通讯作者: 张维中

A Subpixel Matching Algorithm for Curve Correspondences from Images

ZHANG Wei-zhong YANG Hou-jun ZHANG Li-yan YOU Shi-ming Wang Jing   

  1. 1. College of Information Engineering, Qingdao University, Qingdao 266071,China; 2. Research Center of CAD/CAM Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016,China
  • Received:2007-09-09 Revised:1900-01-01 Online:2008-08-30 Published:2008-08-30
  • Contact: ZHANG Wei-zhong

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的基础上,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。通过实验验证了本算法是可行的。

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

Abstract:

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.

Key words: close-range photogrammetry, image matching, subpixel, curve correspondence, reprojection error

中图分类号: