期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2012
卷号：46
期号：1
页码：212-217
出版社：Journal of Theoretical and Applied
摘要：The fundamental matrix plays an important role in the field of computer vision. How to estimate it accurately has become a major subject. In this paper, an improved approach based on the 7-point algorithm is presented. In this method, initial estimations of the fundamental matrix are provided by the 7-point algorithm. Then an optimal fundamental matrix will be selected which offers relatively low mean, low maximum and low standard deviation of the discrepancy between points and epipolar lines. Experimental results on synthetic data and real images show that the proposed algorithm is superior over the 7-point algorithm in terms of accuracy and anti-noise ability.
