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多幅图像拼接

于 2020-07-03 发布 文件大小:6817KB
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代码说明:

  多幅图像拼接matlab实现 sift特征提取、描述、匹配、RANSAC、仿射变换(Multiple image mosaics, MATLAB, SIFT feature extraction, description, matching, RANSAC, affine transformation)

文件列表:

PA1\.DS_Store
PA1\alternate template for LaTeX users\cvpr.sty
PA1\alternate template for LaTeX users\yourSUNetID_PA1.tex
PA1\checkpoint\Affine_ref.mat
PA1\checkpoint\Match_input.mat
PA1\checkpoint\Match_ref.mat
PA1\checkpoint\SIFT_ref.mat
PA1\ComputeAffineMatrix.m
PA1\data\campus_000.jpg
PA1\data\campus_001.jpg
PA1\data\campus_002.jpg
PA1\data\campus_003.jpg
PA1\data\campus_004.jpg
PA1\data\pine1.jpg
PA1\data\pine2.jpg
PA1\data\pine3.jpg
PA1\data\pine4.jpg
PA1\data\trees_000.jpg
PA1\data\trees_001.jpg
PA1\data\trees_002.jpg
PA1\data\trees_003.jpg
PA1\data\uttower1.jpg
PA1\data\uttower2.jpg
PA1\data\uttower2_bad.jpg
PA1\data\uttower2_scaledup.jpg
PA1\data\yard1.jpg
PA1\data\yard2.jpg
PA1\data\yard3.jpg
PA1\data\yard4.jpg
PA1\data\yosemite1.jpg
PA1\data\yosemite2.jpg
PA1\data\yosemite3.jpg
PA1\data\yosemite4.jpg
PA1\EvaluateAffineMatrix.m
PA1\EvaluateSIFTDescriptor.m
PA1\EvaluateSIFTMatcher.m
PA1\KeypointDetect\affine.m
PA1\KeypointDetect\build_pyramid.m
PA1\KeypointDetect\construct_key.m
PA1\KeypointDetect\detect_features.m
PA1\KeypointDetect\drawbox.m
PA1\KeypointDetect\eliminate_edges.m
PA1\KeypointDetect\filter_gaussian.m
PA1\KeypointDetect\filter_laplacian.m
PA1\KeypointDetect\find_extrema.m
PA1\KeypointDetect\find_features.m
PA1\KeypointDetect\fit_parabola.m
PA1\KeypointDetect\fit_paraboloid.m
PA1\KeypointDetect\fmransac_test2.m
PA1\KeypointDetect\f_class.m
PA1\KeypointDetect\gauss1d.m
PA1\KeypointDetect\gauss2dx.m
PA1\KeypointDetect\generate_parta_comparisons.m
PA1\KeypointDetect\getpts.m
PA1\KeypointDetect\get_dvtime.m
PA1\KeypointDetect\interp.m
PA1\KeypointDetect\kill_edges.m
PA1\KeypointDetect\make_cost.m
PA1\KeypointDetect\match_dv_odometry.m
PA1\KeypointDetect\motion_corr.m
PA1\KeypointDetect\motion_corr2.m
PA1\KeypointDetect\mv2.m
PA1\KeypointDetect\plotpoints.m
PA1\KeypointDetect\plot_matched.m
PA1\KeypointDetect\process_loop.m
PA1\KeypointDetect\refine_features.m
PA1\KeypointDetect\resample_bilinear.m
PA1\KeypointDetect\showfeatures.m
PA1\KeypointDetect\show_plist.m
PA1\KeypointDetect\show_points.m
PA1\KeypointDetect\structure2.m
PA1\KeypointDetect\symmetric_match.m
PA1\least_squares_handout.pdf
PA1\lecture_panorama.pdf
PA1\MatcherTester.m
PA1\MultipleStitch.m
PA1\PA1.pdf
PA1\PairStitch.m
PA1\PlotMatch.m
PA1\PlotSIFTDescriptor.m
PA1\RANSACFit.m
PA1\SIFT paper.pdf
PA1\SIFTDescriptor.m
PA1\SIFTSimpleMatcher.m
PA1\SIFTTester.m
PA1\StitchTester.m
PA1\TransformationTester.m
PA1\Untitled.m
PA1\uttower_pano.jpg
PA1\yosemite.jpg
PA1\yourSUNetID_PA1.doc
PA1\alternate template for LaTeX users
PA1\checkpoint
PA1\data
PA1\KeypointDetect
PA1

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    说明:  利用那些已经被破坏的区域的边缘, 即边缘的颜色和结构,根据这些图像留下的信息去推断被破坏的信息区的信息内容,然后对破坏区进行填补 ,以达到图像修补的目的(Using the edge of the damaged area, i.e. the color and structure of the edge, the information content of the damaged information area can be inferred from the information left by these images, and then the damaged area can be filled to achieve the purpose of image repair.)
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