Image mosaic based on robust iterative optimization
DU Pei-min · Computer Engineering and Science · 2014
Aiming at the requirements of keeping edges in a straight line and improving the mosaic precision,an image mosaic algorithm based on robust iterative optimization is proposed.Firstly,SIFT feature matching algorithm is employed to extract features with invariance.Secondly,inlier matching points are obtained accurately through the homography matrix that is estimated according to RANSAC robust algorithm.Thirdly,the homography matrix is re-estimated utilizing least square method by treating inliers as parameters.Finally,more inliers are recomputed until converge based on robust iterative optimization.Experimental results show that,with the proposed method,edges are maintained as a straight line and the precision of image mosaic is greatly improved.