A High-Accuracy Algorithm for Computing Fundamental Matrix

This paper analyses the different influence on the fundamental matrix (F matrix) by the different matched points in images and the weighted factor is introduced to express the distance between the matched point and the epipolar line which has the obvious geometry meaning. The paper looks the set of matched points as a random variable and the weighted factor as the probability distribution. Based on this, the normalization is processed to the origin image data and the F matrix is gotten used the 8-point algorithm. Experimental results show that this algorithm obviously deduces the residual errors and the calculated precision of F matrix is improved notably