电光与控制, 2013, 20 (3): 40, 网络出版: 2013-03-27   

基于比值法与相关法融合的SURF特征点匹配方法

A Method for SURF Feature Point Matching Based on Fusion of Ratio and Correlation Methods
作者单位
空军工程大学信息与导航学院, 西安 710077
摘要
为实现UCAV认知导航对特征点匹配的高匹配分数和低错误率要求, 提出了一种针对SURF特征点匹配的融合方法。该方法在分析比值法和相关法提纯匹配对性能的基础上, 将两者融合, 通过划分阈值区间提纯匹配对。仿真结果表明, 该方法获得的匹配对具有高匹配分数和低错误率, 同时有效弥补了比值法无先验知识时阈值模糊的缺陷。
Abstract
In order to satisfy the requirements of UCAVs in cognitive navigation on high matching score and low error rate for feature point matching a fused matching method for SURF feature points was proposed.Analysis was made to the performance of purifying matching pairs for the ratio method and correlation method based on which the two methods were fused together and the matching pairs were purified by partitioning the threshold intervals.Simulation results show that the fused method can obtain matched feature points with high matching score and low error rate and can effectively compensate the deficiency that can’t choose the threshold clearly without prior knowledge.

周阳, 吴德伟, 邰能建, 杜佳. 基于比值法与相关法融合的SURF特征点匹配方法[J]. 电光与控制, 2013, 20(3): 40. ZHOU Yang, WU Dewei, TAI Nengjian, DU Jia. A Method for SURF Feature Point Matching Based on Fusion of Ratio and Correlation Methods[J]. Electronics Optics & Control, 2013, 20(3): 40.

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