An automatic method for image mosaic based on feature matching
Zhang Guimin · 2011
In this paper, an automatic image mosaic algorithm based on feature matching is presented. In the algorithm, a scale invariant feature transform (SIFT) is used to extract feature points. The initial matches are divided into inliers and outliers by robust RANSAC algorithm. Then LM algorithm is used to estimate the point transformation matrix between two images accurately. In the end, weighted average method is used to blend images. Experimental results show the image mosaic effect is wonderful and the algorithm is adaptive very much. It is high valuable in practice.