Anti-Viewpoint Changing Image Matching Algorithm Based on SURF
苏可心 SU Ke-xin, 韩广良 Han Guang-liang, 孙海江 Sun Hai-jiang · Chinese Journal of Liquid Crystals and Displays · 2013
To overcome the affine transformation,especially great viewpoint changing between the real-time image and the reference image,an anti-viewpoint changing image matching algorithm based on SURF is proposed to bridge the gap of the original one,which may lead to failed matching for the lack of correct matched pairs.The proposed algorithm simulated possible perspective transformations from the original image,generated a set of simulated image sequences,and extracted SURF feature points in the sequence images.Then,the feature points of the simulated image sequence were mapped to the reference image.Finally,the matching point pairs are obtained by the method of the euclidean distance criterion.Experiment results show that the proposed algorithm increases the matching pairs of the feature points,and overcomes the influence of viewpoint change(more than 60°) in image matching.