When using the traditional SIFT algorithm extracts feature points, whose characteristics are rotation and scale scaling invariance, the problems are that the feature point extracted by the algorithm is too small and the shortages of real time and robustness. This article proposes a new method called Panoramic Image. This method can define the transformation parameters between the images by using the distances between cities to measure the similarity and using RANSAC with SPRT to diminish the mismatching. The consequence of the experiments demonstrates that this method can shorten the time of registration and prompt the matching feature points.
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