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提出一种基于SURF算子和特征偏移一致性准则的无人飞行器红外序列影像配准的方法。该方法采用SURF算子对特征点进行提取和匹配。SURF算子仅考虑点的局部信息,没有考虑特征点集的几何信息。本文采用特征偏移一致性准则来剔除误匹配点对,提高特征点对的匹配精度,所得到的特征点集采用LM非线性优化进行单应矩阵求解配准,与其他算法相比,本方法适合于红外序列影像快速拼接,有较好的实用效果和鲁棒性。 更多还原

【Abstract】 This paper proposes a fast registration method for the UAV infrared image sequence based on SURF operator and feature shift coherence rule.This method uses SURF operator to extract and match feature points with local information.While the geometric information of feature point set is not considered,the feature shift coherence rule is adopted to remove error and thus to improve the matching accuracy of the feature point set.Levenberg-Marquardt optimization is used to solve the 8 parameters transf...