Matlab implementation of SIFT With good

SIFT-matlab
...........\SIFT-matlab
...........\...........\01.png
...........\...........\affine.m
...........\...........\build_pyramid.m
...........\...........\construct_key.m
...........\...........\detect_features.asv
...........\...........\detect_features.m
...........\...........\drawbox.m
...........\...........\eliminate_edges.m
...........\...........\example
...........\...........\.......\ima1.jpg
...........\...........\.......\ima2.jpg
...........\...........\.......\ima3.jpg
...........\...........\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
...........\...........\getpts.m
...........\...........\get_dvtime.m
...........\...........\ima1.jpg
...........\...........\ima2.jpg
...........\...........\ima3.jpg
...........\...........\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.asv
...........\...........\resample_bilinear.m
...........\...........\script_example.m
...........\...........\showfeatures.m
...........\...........\show_plist.m
...........\...........\show_points.m
...........\...........\structure2.m
...........\...........\symmetric_match.m
...........\...........\test.m
...........\...........\test2.asv
...........\...........\test2.m
...........\...........\test_jy.m
...........\...........\Untitled4.asv

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