一种基于特征点跟踪的多影像匹配算法  

Novel Method on Features Tracking for Multi-image Matching

作　　者：贾开开 张振杰[1] 郝向阳[1] 

机构地区：[1]解放军信息工程大学,河南郑州450001

出　　处：《系统仿真学报》2017年第5期1147-1152,共6页Journal of System Simulation

摘　　要：在序列影像中,考虑到相邻帧影像的运动随时间变化比较缓慢,可以将光流法用于影像匹配过程中,提出了一种基于特征点跟踪的多影像匹配算法。通过光流法对特征点在帧间进行跟踪,结合匹配判别准则和FB Error算法实现相邻帧影像的快速准确匹配,利用多帧影像间的特征点跟踪实现多影像匹配。实验表明:该算法相比于传统的特征点匹配算法,提高了计算效率并保持了较好的匹配准确率。Considering the slow motion between adjacent frames in image sequence, optical flow can be applied on image matching. A novel method for multi-image matching based on features tracking was proposed The algorithm tracked features between adjacent frames, combining with matching strategy and FB Error, to achieve fast and accurate matching. Multi-image matching was finished by tracking features between image sequence. The experimental results show that the novel algorithm improves the efficiency and ensure the accuracy.

关 键 词：光流法 特征点跟踪 多影像匹配 FB ERROR 

分 类 号：TP277[自动化与计算机技术—检测技术与自动化装置]