关键词: 极线校正, 图像匹配, DoG算子, 尺度不变特征变换算子, 视差图, 三维恢复

Abstract: An epipolar rectification method based on scale is proposed through analysing the polysemy of rectification transformation. Matching algorithm of Scale Invariant Feature Transform(SIFT) descriptor is used to analyze the distribution of the scale space of the feature points, and that will cause more robust interest points in some particular scales than before of not optimized, and the local features of an image are then enhanced. Experiments are performed on images taken by unmanned aerial vehicle. The results demonstrate that the proposed method has strong application value. It is able to eliminate the perpendicularity errors, and also can generate satisfied disparity map in the optimal scale. Moreover, it can also recover 3D topographic map based on the disparity map.

Key words: epipolar rectification, image matching, DoG descriptor, Scale Invariant Feature Transform(SIFT) descriptor, disparity map, three-dimensional recovery