Image Mosaic Based on SIFT

The traditional feature-based algorithm was found to be sensitive to rotations and scales. In this paper, an automatic image mosaic technique based on SIFT (Scale Invariant Feature Transform) was proposed by using the rotation and scale invariant property of SIFT. Keypoints are first extracted by searching over all scales and image locations, then the descriptors defined on the keypoint neighborhood are computed, through to compare the Euclidean distance of their descriptors to extract the initial feature points pair, then eliminate spurious feature points pair by applying RANSAC, finally transform the input image with the correct mapping model for image fusion and complete image stitching. Experimental results demonstrate the proposed algorithm is robust to translation, rotation, noise and scaling.