A SIFT-based three-view image feature matching algorithm is proposed. The SIFT algorithm is used to perform feature matching on the three-view images. The trilinear relationship in computer vision and the pixel transfer error calculation method based on the trifocal tensor are introduced to screen the matching results of the SIFT algorithm and eliminate the mismatched points generated during the matching process. Experiments on real image data show that the algorithm effectively eliminates more than 97% of the mismatched points generated by the SIFT algorithm and improves the accuracy of three-view image matching. Keywords: SIFT algorithm; trilinear relationship; trifocal tensor
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