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ransac

于 2020-07-04 发布
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下载积分: 1 下载次数: 2
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代码说明：

说明：  sift特征提取，ransac剔除匹配点进行优化，实现图像拼接。(SIFT feature extraction, RANSAC eliminate matching points for optimization, to achieve image mosaic.)

文件列表：

ransac\1.jpg, 63641 , 2020-07-02
ransac\1.sift, 1392675 , 2020-07-02
ransac\2.jpg, 56442 , 2020-07-02
ransac\2.sift, 782044 , 2020-07-02
ransac\3.jpg, 66922 , 2020-07-02
ransac\3.sift, 1139110 , 2020-07-02
ransac\sift.exe, 23040 , 2020-07-02
ransac\sift.py, 3924 , 2020-07-01
ransac\test.py, 1988 , 2020-07-02
ransac\tmp.pgm, 1555217 , 2020-07-02
ransac\vl.dll, 303104 , 2020-07-02
ransac\vlfeat-0.9.20-master\.gitattributes, 59 , 2020-07-02
ransac\vlfeat-0.9.20-master\apps\phow_caltech101.m, 11594 , 2020-07-02
ransac\vlfeat-0.9.20-master\apps\recognition\encodeImage.m, 5278 , 2020-07-02
ransac\vlfeat-0.9.20-master\apps\recognition\experiments.m, 6905 , 2020-07-02
ransac\vlfeat-0.9.20-master\apps\recognition\extendDescriptorsWithGeometry.m, 822 , 2020-07-02
ransac\vlfeat-0.9.20-master\apps\recognition\getDenseSIFT.m, 1679 , 2020-07-02
ransac\vlfeat-0.9.20-master\apps\recognition\readImage.m, 919 , 2020-07-02
ransac\vlfeat-0.9.20-master\apps\recognition\setupCaltech256.m, 2495 , 2020-07-02
ransac\vlfeat-0.9.20-master\apps\recognition\setupFMD.m, 1197 , 2020-07-02
ransac\vlfeat-0.9.20-master\apps\recognition\setupGeneric.m, 4024 , 2020-07-02
ransac\vlfeat-0.9.20-master\apps\recognition\setupScene67.m, 2368 , 2020-07-02
ransac\vlfeat-0.9.20-master\apps\recognition\setupVoc.m, 5189 , 2020-07-02
ransac\vlfeat-0.9.20-master\apps\recognition\trainEncoder.m, 6226 , 2020-07-02
ransac\vlfeat-0.9.20-master\apps\recognition\traintest.m, 6097 , 2020-07-02
ransac\vlfeat-0.9.20-master\apps\sift_mosaic.m, 4621 , 2020-07-02
ransac\vlfeat-0.9.20-master\bin\glnx86\aib, 8396 , 2020-07-02
ransac\vlfeat-0.9.20-master\bin\glnx86\libvl.so, 293498 , 2020-07-02
ransac\vlfeat-0.9.20-master\bin\glnx86\mser, 21717 , 2020-07-02
ransac\vlfeat-0.9.20-master\bin\glnx86\sift, 26345 , 2020-07-02
ransac\vlfeat-0.9.20-master\bin\glnx86\test_gauss_elimination, 8327 , 2020-07-02
ransac\vlfeat-0.9.20-master\bin\glnx86\test_getopt_long, 8597 , 2020-07-02
ransac\vlfeat-0.9.20-master\bin\glnx86\test_gmm, 13455 , 2020-07-02
ransac\vlfeat-0.9.20-master\bin\glnx86\test_heap-def, 12462 , 2020-07-02
ransac\vlfeat-0.9.20-master\bin\glnx86\test_host, 8345 , 2020-07-02
ransac\vlfeat-0.9.20-master\bin\glnx86\test_imopv, 8611 , 2020-07-02
ransac\vlfeat-0.9.20-master\bin\glnx86\test_kmeans, 8500 , 2020-07-02
ransac\vlfeat-0.9.20-master\bin\glnx86\test_liop, 8389 , 2020-07-02
ransac\vlfeat-0.9.20-master\bin\glnx86\test_mathop, 12490 , 2020-07-02
ransac\vlfeat-0.9.20-master\bin\glnx86\test_mathop_abs, 8450 , 2020-07-02
ransac\vlfeat-0.9.20-master\bin\glnx86\test_nan, 8374 , 2020-07-02
ransac\vlfeat-0.9.20-master\bin\glnx86\test_qsort-def, 12413 , 2020-07-02
ransac\vlfeat-0.9.20-master\bin\glnx86\test_rand, 8386 , 2020-07-02
ransac\vlfeat-0.9.20-master\bin\glnx86\test_sqrti, 8305 , 2020-07-02
ransac\vlfeat-0.9.20-master\bin\glnx86\test_stringop, 12718 , 2020-07-02
ransac\vlfeat-0.9.20-master\bin\glnx86\test_svd2, 8459 , 2020-07-02
ransac\vlfeat-0.9.20-master\bin\glnx86\test_threads, 8669 , 2020-07-02
ransac\vlfeat-0.9.20-master\bin\glnx86\test_vec_comp, 8635 , 2020-07-02
ransac\vlfeat-0.9.20-master\bin\glnxa64\.dirstamp, 29 , 2020-07-02
ransac\vlfeat-0.9.20-master\bin\glnxa64\aib, 8744 , 2020-07-02
ransac\vlfeat-0.9.20-master\bin\glnxa64\aib.d, 2362 , 2020-07-02
ransac\vlfeat-0.9.20-master\bin\glnxa64\libvl.so, 427408 , 2020-07-02
ransac\vlfeat-0.9.20-master\bin\glnxa64\mser, 26624 , 2020-07-02
ransac\vlfeat-0.9.20-master\bin\glnxa64\mser.d, 2446 , 2020-07-02
ransac\vlfeat-0.9.20-master\bin\glnxa64\objs\.dirstamp, 29 , 2020-07-02
ransac\vlfeat-0.9.20-master\bin\glnxa64\objs\aib.d, 115 , 2020-07-02
ransac\vlfeat-0.9.20-master\bin\glnxa64\objs\aib.o, 9368 , 2020-07-02
ransac\vlfeat-0.9.20-master\bin\glnxa64\objs\array.d, 111 , 2020-07-02
ransac\vlfeat-0.9.20-master\bin\glnxa64\objs\array.o, 4288 , 2020-07-02
ransac\vlfeat-0.9.20-master\bin\glnxa64\objs\covdet.d, 171 , 2020-07-02
ransac\vlfeat-0.9.20-master\bin\glnxa64\objs\covdet.o, 53088 , 2020-07-02
ransac\vlfeat-0.9.20-master\bin\glnxa64\objs\dsift.d, 143 , 2020-07-02
ransac\vlfeat-0.9.20-master\bin\glnxa64\objs\dsift.o, 12008 , 2020-07-02
ransac\vlfeat-0.9.20-master\bin\glnxa64\objs\fisher.d, 175 , 2020-07-02
ransac\vlfeat-0.9.20-master\bin\glnxa64\objs\fisher.o, 12200 , 2020-07-02
ransac\vlfeat-0.9.20-master\bin\glnxa64\objs\generic.d, 106 , 2020-07-02
ransac\vlfeat-0.9.20-master\bin\glnxa64\objs\generic.o, 16032 , 2020-07-02
ransac\vlfeat-0.9.20-master\bin\glnxa64\objs\getopt_long.d, 135 , 2020-07-02
ransac\vlfeat-0.9.20-master\bin\glnxa64\objs\getopt_long.o, 6320 , 2020-07-02
ransac\vlfeat-0.9.20-master\bin\glnxa64\objs\gmm.d, 213 , 2020-07-02
ransac\vlfeat-0.9.20-master\bin\glnxa64\objs\gmm.o, 47384 , 2020-07-02
ransac\vlfeat-0.9.20-master\bin\glnxa64\objs\hikmeans.d, 136 , 2020-07-02
ransac\vlfeat-0.9.20-master\bin\glnxa64\objs\hikmeans.o, 9416 , 2020-07-02
ransac\vlfeat-0.9.20-master\bin\glnxa64\objs\hog.d, 115 , 2020-07-02
ransac\vlfeat-0.9.20-master\bin\glnxa64\objs\hog.o, 16976 , 2020-07-02
ransac\vlfeat-0.9.20-master\bin\glnxa64\objs\homkermap.d, 169 , 2020-07-02
ransac\vlfeat-0.9.20-master\bin\glnxa64\objs\homkermap.o, 9736 , 2020-07-02
ransac\vlfeat-0.9.20-master\bin\glnxa64\objs\host.d, 97 , 2020-07-02
ransac\vlfeat-0.9.20-master\bin\glnxa64\objs\host.o, 3576 , 2020-07-02
ransac\vlfeat-0.9.20-master\bin\glnxa64\objs\ikmeans.d, 193 , 2020-07-02
ransac\vlfeat-0.9.20-master\bin\glnxa64\objs\ikmeans.o, 26448 , 2020-07-02
ransac\vlfeat-0.9.20-master\bin\glnxa64\objs\imopv.d, 165 , 2020-07-02
ransac\vlfeat-0.9.20-master\bin\glnxa64\objs\imopv.o, 33688 , 2020-07-02
ransac\vlfeat-0.9.20-master\bin\glnxa64\objs\imopv_sse2.d, 173 , 2020-07-02
ransac\vlfeat-0.9.20-master\bin\glnxa64\objs\imopv_sse2.o, 4456 , 2020-07-02
ransac\vlfeat-0.9.20-master\bin\glnxa64\objs\kdtree.d, 141 , 2020-07-02
ransac\vlfeat-0.9.20-master\bin\glnxa64\objs\kdtree.o, 31256 , 2020-07-02
ransac\vlfeat-0.9.20-master\bin\glnxa64\objs\kmeans.d, 186 , 2020-07-02
ransac\vlfeat-0.9.20-master\bin\glnxa64\objs\kmeans.o, 65032 , 2020-07-02
ransac\vlfeat-0.9.20-master\bin\glnxa64\objs\lbp.d, 115 , 2020-07-02
ransac\vlfeat-0.9.20-master\bin\glnxa64\objs\lbp.o, 4560 , 2020-07-02
ransac\vlfeat-0.9.20-master\bin\glnxa64\objs\liop.d, 145 , 2020-07-02
ransac\vlfeat-0.9.20-master\bin\glnxa64\objs\liop.o, 13208 , 2020-07-02
ransac\vlfeat-0.9.20-master\bin\glnxa64\objs\mathop.d, 175 , 2020-07-02
ransac\vlfeat-0.9.20-master\bin\glnxa64\objs\mathop.o, 20144 , 2020-07-02
ransac\vlfeat-0.9.20-master\bin\glnxa64\objs\mathop_avx.d, 174 , 2020-07-02
ransac\vlfeat-0.9.20-master\bin\glnxa64\objs\mathop_avx.o, 6840 , 2020-07-02
ransac\vlfeat-0.9.20-master\bin\glnxa64\objs\mathop_sse2.d, 179 , 2020-07-02
ransac\vlfeat-0.9.20-master\bin\glnxa64\objs\mathop_sse2.o, 11192 , 2020-07-02
ransac\vlfeat-0.9.20-master\bin\glnxa64\objs\mser.d, 107 , 2020-07-02

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发表评论

0 个回复

  • mbtropclitan
    一个较好效果的彩色图像合成代码(分左右两个视窗,很好用(A good effect of color image synthesis code (about two Windows, very useful)
    2017-05-07 10:53:15下载
    积分：1
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    2010-03-12 16:14:35下载
    积分：1
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    说明：  声呐或者雷达系统发射信号后，通过波束形成算法对两个目标（方位分别为theta1、theta2）回波进行仿真，经过相位补偿，可以看出图像有两个波峰，波峰处指向性函数峰值最大，峰值所对应的的角度值即为目标的方位角。所以该程序对数字波束形成（DBF）的原理进行了仿真，适合初学者掌握阵列信号处理中数字波束形成的原理。(After the sonar or radar system transmits the signal, the echo of the two targets (the azimuth is theta1 and theta2 respectively) is simulated by the beamforming algorithm. After the phase compensation, it can be seen that the image has two peaks, the peak of the directivity function is the largest, and the corresponding angle value of the peak is the azimuth of the target. So the program simulates the principle of DBF, which is suitable for beginners to master the principle of DBF in array signal processing.)
    2020-06-26 21:00:01下载
    积分：1
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    2009-08-25 10:06:58下载
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    2013-11-05 22:32:15下载
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    说明：  curvelet 工具包，功能强大，版本最新，是图像处理，多尺度分析的主要工具。(curvelet toolkits, powerful, version of the latest is the image processing, multi-scale analysis of the major tools.)
    2008-09-04 17:46:09下载
    积分：1
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    新兴起的一种分解方法，比小波分解更精确。 在纹理回复时候应用(The emergence of a new decomposition method, more accurate than the wavelet decomposition. Back in time for the application of texture)
    2021-04-15 19:48:54下载
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    图像金字塔，得到降采样后的图像和残差图像(image pyramids,generating image pyramids and predicton residual)
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