An Improved Algorithm of Image Registration based on SURF
Xiaohong Ding · Dunhuang Research · 2010
With the shortcomings of the large data amount and long time consuming in the conventional image feature matching algorithms,a new algorithm based on SURF for image registration is presented in this paper.It is fast computed based on the integral image and through the Fast-Hessian detector,the feature points are extracted.For each feature point,the dominant orientation is assigned by computing Haar-wavelet responses,and then the descriptor is generated.Image matching is made based on Euclidean distance between these descriptors.Experimental result shows that this algorithm can not only meet the requirement of accuracy,but also has a small data amount and fast speed for image registration.