A video stabilization algorithm based on Harris is presented.In this algorithm,the strongest corner points is adaptively detected with Harris operator and (2n+1)×(2n+1) feature windows is selected for originally mutual gray correlative matching.Continental distance ratio invariant criterion is proposed,and consistency of motion vector is improved by eliminating error matching points with median filter.9 pairs right points is preserved,4 pairs composing 1 group,and 5 groups is random distributed to uncoil the motion vector equations.Last,stabilization precision is improved by averaging the 5 groups′ solutions.The experiments show that this algorithm is unacted on image zoom,can eliminate rotation,transition and stabilize the image sequence.
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周亚军,陶声祥,张舒,张敬修.一种基于Harris角点特征的稳像算法[J].激光与红外,2009,39(5):555~557 ZHOU Ya-jun, TAO Sheng-xiang, ZHANG Shu, ZHANG Jing-xiu. Image stabilization algorithm based on Harris[J]. LASER & INFRARED,2009,39(5):555~557