【作者】 胡明星； 袁保宗； 唐晓芳；

【Author】 Hu Mingxing Yuan Baozong Tang Xiaofang (Institute of Information Science,Northern Jiaotong University)

【机构】 北方交通大学信息所；

【摘要】 本文提出了一种基于遗传算法的基础矩阵估计方法,它在很大程度上减小了出格点对估计过程的影响,能够较好地汇聚到全局最优解。模拟数据和真实图象的实验结果都表明,本文所给出的方法能够有效地检测和删除错匹配和误匹配点,提高了基础矩阵估计的鲁棒性和精度。更多还原

【Abstract】 This paper addresses the problem of computing the fundamental matrix using a new method based on genetic algorithm is presented,which would eventually converge to a globally optimal solution and is relatively unaffected by the outliers.Experiments with both synthetic data and real images show that our method is more robust and precise than other typical methods because it can efficiently detect and delete the bad corresponding points,which include both bad locations and false matches.更多还原