基于距离比阈值参数自适应的SIFT算法研究

RESEARCH BASED ON DISTANCE RATIO THRESH ADAPTIVE PARAMETER OF SCALE-INVARIANT FEATURE TRANSFORM ALGORITHM

针对尺度不变特征SIFT算法在匹配阶段欧氏距离比阈值的固定设置,提出了对不同图像具有自适应的动态参数设置方法,基于折半查找法思想设计了寻优方法,能够寻找到最优的距离比阈值参数,同时不会产生较大的运算量.实验表明,采用本文的寻优方法在保证迭代次数较少的情况下能够较快地找到最优参数.

Considering of the contraint of scale invariant feature transform algorithm when it set the parameter of the thresh of the distance ratio unchangeable,this paper proposed the method of adaptive parameter setting to suit for different images.Using the idea of binary search algorithm to design optimize method can find the optimization value of the distance ratio,which don′t cause too much calculation at the same time.The experiment shows that using the optimize method which proposed in this paper can find the optimization parameter in small iteration times.