An Improved Multi-scale Harris Feature Point Detection Method
Tan Jie-qinga · Jisuanji gongcheng · 2012
There are many redundant feature points by multi-scale Harris method to check.Although Harris-Laplace method can remove some redundant points,there still are more than one feature points in a local structure or a few different scale local structures represented a feature points.This paper present an improved method of checking Harris-Laplace feature points,that track and group it while checking feature points so that some feature points that represent the same local structure are divided into a group,then use Laplace function to remove redundant feature points and the corner measure to select the most representative of the local structure of the corner.It is proved by experiments that the method can effectively remove redundant feature points.While fuzzy and rotation transforming,the method is better than Harris-Laplace,and has a scale-invariant features.