Image mosaic based on video sequence
LI Zhan-min · Electronic Design Engineering · 2015
In order to eliminate the redundant information between video sequences, express the main content of the video in a simple abstract form, an image mosaic method based on video sequence was proposed. First of all, the key frames were extracted using the improved inter frame clustering algorithm. Secondly, the feature of key frames were extracted by using the SIFT algorithm, the nearest neighbor algorithm is used to match the feature points, guided complementary matching and voting filter is used to improve the matching accuracy. Then with the RANSAC robust estimation algorithm to get the selected frames' homography matrix. The LM nonlinear iteration algorithm was used to refine the homography matrix. Finally, cascade homography matrix and weighted fusion algorithm is used to realize the seamless splicing of video sequences. The experiment demonstrates this method is efficient.