For the problem that the affine scale invariant feature transform(ASIFT) algorithm does well in large viewing image matching but has low computing efficiency, a fast large viewing image matching method based on the oriented FAST and rotated BRIEF(ORB) algorithm is proposed. The improved algorithm combines the perspective transformation model and ORB algorithm to optimize the affine transformation model and SIFT algorithm in the ASIFT algorithm. The refined matching is performed with the homography matrix based on coarse matching, which can reduce the number of simulation and improve the efficiency of the algorithm. The experimental results show that the proposed algorithm has the ability to resist the angle of view, and is 10 times faster than the ASIFT algorithm. Also, it has strong real-time performance and high engineering application value.