Feature point matching method based on the inner and exterior product of image gradient
Ren Yu-lan · Journal of North China Electric Power University · 2011
In this paper,a novel feature descriptor called gradient correlation descriptor(GCD) is proposed.The GCD descriptor uses the gradient correlation measure defined by the inner and exterior product to characterize the gradient distributions in neighborhoods of feature points,and it has the following advantages: Its construction is very simple because of only the inner and exterior product operations are used;The correlation measure can effectively characterize the gradient distributions in neighborhoods of feature points;In correlation measure the use of gradient mean makes it is not sensitive to the estimate precision of main orientation of feature point,thus can provide a better stabilization to image rotation.Experiments show that GCD descriptor has sound effects for many types of image feature point matching.