计算机工程与应用Issue(10)：177-179,3.DOI:10.3778/j.issn.1002-8331.1301-0148
一种改进的快速特征点信息匹配算法
Improved algorithm of fast feature points matching
摘要
Abstract
Feature points matching plays an important role in image retrieve, pattern recognition and so on. Feature detectors such as SIFT(DoG), Harris and SUSAN algorithm are good methods which yield high quality features, however they are too compu-tationally intensive for using in real-time applications of any complexity. This paper puts forward an improved fast feature point matching algorithm. And uses the full affine method to extract the local feature points, which it was advocated by Guoshen and Jean-Michel, then uses the Random Fern to match feature points, uses RANSANC to remove dead points. The experimental results show that this method improves the image matching points, and reduces the matching time.关键词
特征点/全仿射变换/随机蕨类/匹配/RANSACKey words
feature points/full affine/random fern/matching/RANSAC分类
信息技术与安全科学引用本文复制引用
刘佳,曹正文,孙德禄,邓雨晨..一种改进的快速特征点信息匹配算法[J].计算机工程与应用,2013,(10):177-179,3.基金项目
陕西省教育厅自然科学专项（No.12JK0497）。 （）
