AUTOMATIC IMAGE FEATURE MATCHING BASED ON REFERENCE POINTS
In computer vision and close-range photogrammetry, the result of 3-D reconstruction depends on the quality of image matching. This paper presents an automatic matching algorithm for image feature based on reference points. This method uses the non-coded points and the coded points. The coded points matched easily are utilized for determination of distance relation between primitives. The non-coded points are utilized for 3-D point reconstruction. Compared to previous methods, the novelties of the proposed method are as follows.Firstly, the proposed method improves automation level of algorithm by automatic detection using the reference points,which does not involve problem to choose manually point correspondences. Secondly, the 3-D reconstruction precision is remarkably increased since the method of subpixel reference point center location is utilized. The experiment shows that the proposed algorithm can acquire both very high ratio of correct match and very high precision of 3-D reconstruction.
Reference points matching Subpixel Epipolar geometry Relaxation labeling
WEI-ZHONG ZHANG QING-GUO LIU LI-YAN ZHANG
College of information engineering, Qingdao University, Qingdao 266071, China;Research Center of CAD Nanjing Institute of Technology, Nanjing, 210013, China Research Center of CAD/CAM Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing,
国际会议
2006 International Conference on Machine Learning and Cybernetics(IEEE第五届机器学习与控制论坛)
大连
英文
3914-3918
2006-08-13（万方平台首次上网日期，不代表论文的发表时间）