Matlab a classic of the sift algorithm, used in image registration, beginners can learn under

SIFT
....\affine.m
....\build_pyramid.m
....\construct_key.m
....\detect_features.m
....\drawbox.m
....\eliminate_edges.m
....\FACE.fig
....\FACE.m
....\file.mat
....\filter_gaussian.m
....\filter_laplacian.m
....\find_extrema.m
....\find_features.m
....\fit_parabola.m
....\fit_paraboloid.m
....\fmransac_test2.m
....\f_class.m
....\gauss1d.m
....\gauss2dx.m
....\get_dvtime.m
....\img1.mat
....\interp.m
....\kill_edges.m
....\make_cost.m
....\match_dv_odometry.m
....\motion_corr.m
....\motion_corr2.m
....\mv2.m
....\plotpoints.m
....\plot_matched.m
....\process_loop.m
....\refine_features.m
....\resample_bilinear.m
....\script_example.m
....\showfeatures.m
....\show_plist.m
....\show_points.m
....\structure2.m
....\symmetric_match.m
....\test.m
....\test2.m
....\test_jy.m

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