Stereo Vision Image Matching Based on RANSAC Algorithm

An image matching method of stereo vision through combining image correction and random sampling algorithm is proposed.Accurate matched point sets are obtained in the process of performing linear correction to a stereo image, constructing original matching point sets according to the correcting result, estimating the fundamental matrix between image pair by using of random sampling algorithm, restoring the epipolar geometry restriction relationship between the original image pair, and picking out the unmatched and error matched feature points in the original matched pint sets.This method has been applied in the measurement of the surface of large-scale expandable microwave antenna of synthesized aperture radar(SAR). It is indicated by the measurement result that the matching ratio of the method is greater than 96%.