A matching algorithm for large viewpoint changes images

Images with large viewpoint variation are hard to match by traditional image matching methods. To overcome the disadvantages of traditional perspective invariant image matching method, a perspective scale invariant feature transform (PSIFT) method based on improved artificial bee colony (IABC) for large viewpoint is proposed in this paper, which called IABC-PSIFT. The viewpoint variation of camera is described by perspective transformation model. According to the characteristic of the perspective transformation model, the colony choosing equation and probability equation of artificial bee colony algorithm are improved to obtain the optimal simulate viewpoint efficiently. The parameters of the proposed method are ascertained through experimental analysis. The experiment of image with large viewpoint is compared by using traditional affine invariant methods and the proposed method respectively. The results show that the proposed method can obtain more matching points while maintaining the same accuracy to that of the other affine invariant methods. Moreover, the efficiency of proposed method is improved compared with ASIFT.