摘要
对SIFT算法中距离比阈值参数进行分析,提出自适应距离比阈值改进方法,并提出用随机取样一致性算法优化点与匹配点的比值作为判断最佳阈值的标准。结果表明,改进后的方法能够通过较少的迭代确定最佳阈值,并且不会给计算带来很多负担,同时能够提高匹配点的准确性。
The distance ratio threshold is used for matching in scale invariant feature transform algorithm, which presently is a fixed value in many researches and weakens the algorithm＇s robustness. The distance ratio threshold was analyzed in detail, and an adaptive method was put forward. In addition, the ratio of random sample consensus optimized points and matching points was used as an approximation of repeatability to identifying the optimum value. The experimental results show that this method can find the optimum threshold value through few iterations, which can improve the matching accuracy while not bring too much calculation.
出处
《中国石油大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
2013年第4期71-75,82,共6页
Journal of China University of Petroleum(Edition of Natural Science)
基金
教育部自主创新科研计划项目(10CX05007A
12CX04002A)
国家自然科学基金项目(41101355)
