Improved algorithm of image registration based on SURF
Huang Chengxia · Journal of PLA University of Science and Technology · 2013
To better construct a virtual environment and increase the image registration efficiency in the virtual scene,the speed-up the robust features(SURF) algorithm was improved.The algorithm was based on the number of feature points and density relationship which determine the conditions,The number of the appropriate and relatively uniform distribution of the feature points can achieve within a shorter time.The positive and negative quantity of Hessian matrix was used to increase the speed of the feature point matching.To solve the problem which wrong matches influence the precision of image mosaic,random sample consensus(RANSAC) was used to improve the matching accuracy.The experimental results show that the algorithm can save the feature point detection and the matching of time,and improve the matching efficiency.The proposed algorithm of image registration is more effective than the SURF image registration method.