文件名称：SIFT—matlab代码
文件大小：603KB
文件格式：RAR
更新时间：2014-03-31 15:18:41
SIFT
基于SIFT的图像配准程序 SIFT特征匹配算法是目前国内外特征点匹配研究领域的热点与难点,其匹配能力较强,可以处理两幅图像之间发生平移、旋转、仿射变换情况下的匹配问题,甚至在某种程度上对任意角度拍摄的图像也具备较为稳定的特征匹配能力-SIFT-based image registration procedure is the SIFT feature matching algorithm for matching feature points at home and abroad a hot area of research and the difficulties in matching their ability to deal with translation between two images, rotation, affine transformation to match the case of problems, and even to some extent in any angle images will also be able to match the characteristics of a more stable capacity
【文件预览】：
SIFT-matlab
----plotpoints.m(1KB)
----filter_laplacian.m(2KB)
----build_pyramid.m(2KB)
----construct_key.m(817B)
----getpts.m(6KB)
----detect_features.asv(3KB)
----ima1.jpg(25KB)
----plot_matched.m(718B)
----test.m(2KB)
----gauss1d.m(236B)
----affine.m(1KB)
----motion_corr.m(6KB)
----Untitled4.asv(96B)
----eliminate_edges.m(137B)
----motion_corr2.m(4KB)
----show_points.m(97B)
----process_loop.m(283B)
----fit_paraboloid.m(432B)
----find_features.m(6KB)
----find_extrema.m(3KB)
----match_dv_odometry.m(392B)
----show_plist.m(194B)
----showfeatures.m(1KB)
----drawbox.m(244B)
----script_example.m(1KB)
----refine_features.m(9KB)
----structure2.m(678B)
----detect_features.m(3KB)
----resample_bilinear.m(1KB)
----gauss2dx.m(573B)
----get_dvtime.m(615B)
----filter_gaussian.m(2KB)
----make_cost.m(227B)
----symmetric_match.m(975B)
----fmransac_test2.m(7KB)
----example()
--------ima1.jpg(25KB)
--------script_example.m(1KB)
--------ima3.jpg(205KB)
--------ima2.jpg(58KB)
----ima3.jpg(205KB)
----interp.m(408B)
----test_jy.m(471B)
----fit_parabola.m(119B)
----f_class.m(397B)
----ima2.jpg(58KB)
----kill_edges.m(170B)
----test2.m(415B)
----resample_bilinear.asv(1KB)
----mv2.m(166B)