Research Of Image Matching Algorithm Based On Binocular Vision

An important and main part of binary vision is image matching. It is also an important research topic in the fields of computer vision and image processing. This paper has done a great work to research image matching algorithms deeply and a highly effective and image matching algorithm has been developed.After corner detection, correlation method is used for initial matching. After that, many ambiguous matching points will be in the matching set. And a large amount of outliers will be taken into account. This kind of feature points set can not be used for estimating the fundamental matrix. A disambiguating algorithm has been proposed using a so-called strength of matching function which describes the extent of one pair of feature points being supported by other pairs nearby. After that, a strategy will be used to extract pairs of feature points with the proper value of strength of match in order to disambiguate.After disambiguating, we use 8-points algorithm and least-median-of-squares algorithm to estimate the fundamental matrix. At last, we can solve image matching problem with the help of the precise fundamental matrix which we have got just now.It has been proved by experiment that the algorithm in this paper has solved image matching in binary vision well.