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SNS_matlab-master

于 2021-05-14 发布 文件大小:12485KB
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代码说明：

  图像重定向源代码，本文提出一种网格变形框架，允许显著特征进行均匀缩放，从而保证图像内容的完整性，将变形分布到不重要的区域。(The source code of optimal scale stretching image redirection is presented, and an effective image redirection algorithm is proposed to better guarantee the integrity of the image.)

文件列表：

SNS_matlab-master, 0 , 2018-10-24
SNS_matlab-master\Brasserie_L_Aficion.png, 1056989 , 2016-06-27
SNS_matlab-master\Brasserie_L_Aficion_0.50_sns.png, 460700 , 2016-06-27
SNS_matlab-master\Demo.m, 2318 , 2018-07-12
SNS_matlab-master\gbvs, 0 , 2018-10-24
SNS_matlab-master\gbvs\algsrc, 0 , 2018-10-24
SNS_matlab-master\gbvs\algsrc\connectMatrix.m, 2668 , 2016-06-27
SNS_matlab-master\gbvs\algsrc\distanceMatrix.m, 2137 , 2016-06-27
SNS_matlab-master\gbvs\algsrc\formMapPyramid.m, 942 , 2016-06-27
SNS_matlab-master\gbvs\algsrc\getDims.m, 110 , 2016-06-27
SNS_matlab-master\gbvs\algsrc\graphsalapply.m, 1997 , 2016-06-27
SNS_matlab-master\gbvs\algsrc\graphsalinit.m, 1026 , 2016-06-27
SNS_matlab-master\gbvs\algsrc\indexmatrix.m, 104 , 2016-06-27
SNS_matlab-master\gbvs\algsrc\initGBVS.m, 1772 , 2016-06-27
SNS_matlab-master\gbvs\algsrc\makeLocationMap.m, 945 , 2016-06-27
SNS_matlab-master\gbvs\algsrc\mexArrangeLinear.cc, 1342 , 2016-06-27
SNS_matlab-master\gbvs\algsrc\mexArrangeLinear.mexa64, 6982 , 2016-06-27
SNS_matlab-master\gbvs\algsrc\mexArrangeLinear.mexglx, 5265 , 2016-06-27
SNS_matlab-master\gbvs\algsrc\mexArrangeLinear.mexmaci, 8816 , 2016-06-27
SNS_matlab-master\gbvs\algsrc\mexArrangeLinear.mexmaci64, 8736 , 2016-06-27
SNS_matlab-master\gbvs\algsrc\mexArrangeLinear.mexw32, 6144 , 2016-06-27
SNS_matlab-master\gbvs\algsrc\mexArrangeLinear.mexw64, 8192 , 2016-06-27
SNS_matlab-master\gbvs\algsrc\mexAssignWeights.cc, 1836 , 2016-06-27
SNS_matlab-master\gbvs\algsrc\mexAssignWeights.mexa64, 7240 , 2016-06-27
SNS_matlab-master\gbvs\algsrc\mexAssignWeights.mexglx, 5325 , 2016-06-27
SNS_matlab-master\gbvs\algsrc\mexAssignWeights.mexmaci, 8796 , 2016-06-27
SNS_matlab-master\gbvs\algsrc\mexAssignWeights.mexmaci64, 8720 , 2016-06-27
SNS_matlab-master\gbvs\algsrc\mexAssignWeights.mexw32, 6144 , 2016-06-27
SNS_matlab-master\gbvs\algsrc\mexAssignWeights.mexw64, 7680 , 2016-06-27
SNS_matlab-master\gbvs\algsrc\mexColumnNormalize.cc, 645 , 2016-06-27
SNS_matlab-master\gbvs\algsrc\mexColumnNormalize.mexa64, 6758 , 2016-06-27
SNS_matlab-master\gbvs\algsrc\mexColumnNormalize.mexglx, 4945 , 2016-06-27
SNS_matlab-master\gbvs\algsrc\mexColumnNormalize.mexmaci, 8780 , 2016-06-27
SNS_matlab-master\gbvs\algsrc\mexColumnNormalize.mexmaci64, 8704 , 2016-06-27
SNS_matlab-master\gbvs\algsrc\mexColumnNormalize.mexw32, 6144 , 2016-06-27
SNS_matlab-master\gbvs\algsrc\mexColumnNormalize.mexw64, 7680 , 2016-06-27
SNS_matlab-master\gbvs\algsrc\mexSumOverScales.cc, 1358 , 2016-06-27
SNS_matlab-master\gbvs\algsrc\mexSumOverScales.mexa64, 6870 , 2016-06-27
SNS_matlab-master\gbvs\algsrc\mexSumOverScales.mexglx, 5169 , 2016-06-27
SNS_matlab-master\gbvs\algsrc\mexSumOverScales.mexmaci, 8816 , 2016-06-27
SNS_matlab-master\gbvs\algsrc\mexSumOverScales.mexmaci64, 8736 , 2016-06-27
SNS_matlab-master\gbvs\algsrc\mexSumOverScales.mexw32, 6144 , 2016-06-27
SNS_matlab-master\gbvs\algsrc\mexSumOverScales.mexw64, 8192 , 2016-06-27
SNS_matlab-master\gbvs\algsrc\mexVectorToMap.cc, 938 , 2016-06-27
SNS_matlab-master\gbvs\algsrc\mexVectorToMap.mexa64, 6597 , 2016-06-27
SNS_matlab-master\gbvs\algsrc\mexVectorToMap.mexglx, 4900 , 2016-06-27
SNS_matlab-master\gbvs\algsrc\mexVectorToMap.mexmaci, 8748 , 2016-06-27
SNS_matlab-master\gbvs\algsrc\mexVectorToMap.mexmaci64, 8680 , 2016-06-27
SNS_matlab-master\gbvs\algsrc\mexVectorToMap.mexw32, 6144 , 2016-06-27
SNS_matlab-master\gbvs\algsrc\mexVectorToMap.mexw64, 7680 , 2016-06-27
SNS_matlab-master\gbvs\algsrc\namenodes.m, 334 , 2016-06-27
SNS_matlab-master\gbvs\algsrc\partitionindex.m, 365 , 2016-06-27
SNS_matlab-master\gbvs\algsrc\principalEigenvectorRaw.m, 570 , 2016-06-27
SNS_matlab-master\gbvs\algsrc\simpledistance.m, 1000 , 2016-06-27
SNS_matlab-master\gbvs\algsrc\sparseness.m, 63 , 2016-06-27
SNS_matlab-master\gbvs\compile, 0 , 2018-10-24
SNS_matlab-master\gbvs\compile\cleanmex.m, 12 , 2016-06-27
SNS_matlab-master\gbvs\compile\gbvs_compile.m, 303 , 2016-06-27
SNS_matlab-master\gbvs\compile\gbvs_compile2.m, 351 , 2016-06-27
SNS_matlab-master\gbvs\demo, 0 , 2018-10-24
SNS_matlab-master\gbvs\demo\demonstration.m, 1693 , 2016-06-27
SNS_matlab-master\gbvs\demo\flicker_motion_demo.m, 744 , 2016-06-27
SNS_matlab-master\gbvs\demo\simplest_demonstration.m, 1812 , 2016-06-27
SNS_matlab-master\gbvs\gbvs.m, 9683 , 2016-06-27
SNS_matlab-master\gbvs\gbvs_fast.m, 344 , 2016-06-27
SNS_matlab-master\gbvs\gbvs_install.m, 100 , 2016-06-27
SNS_matlab-master\gbvs\initcache, 0 , 2018-10-24
SNS_matlab-master\gbvs\initcache\17__24__m__2.mat, 54381 , 2016-06-27
SNS_matlab-master\gbvs\initcache\18__24__m__2.mat, 60929 , 2016-06-27
SNS_matlab-master\gbvs\initcache\18__32__m__2.mat, 121042 , 2016-06-27
SNS_matlab-master\gbvs\initcache\19__24__m__2.mat, 68419 , 2016-06-27
SNS_matlab-master\gbvs\initcache\19__32__m__2.mat, 133276 , 2016-06-27
SNS_matlab-master\gbvs\initcache\20__32__m__2.mat, 146954 , 2016-06-27
SNS_matlab-master\gbvs\initcache\21__32__m__2.mat, 161673 , 2016-06-27
SNS_matlab-master\gbvs\initcache\22__32__m__2.mat, 179086 , 2016-06-27
SNS_matlab-master\gbvs\initcache\23__24__m__2.mat, 97815 , 2016-06-27
SNS_matlab-master\gbvs\initcache\23__32__m__2.mat, 194389 , 2016-06-27
SNS_matlab-master\gbvs\initcache\24__18__m__2.mat, 53317 , 2016-06-27
SNS_matlab-master\gbvs\initcache\24__23__m__2.mat, 95589 , 2016-06-27
SNS_matlab-master\gbvs\initcache\24__24__m__2.mat, 105818 , 2016-06-27
SNS_matlab-master\gbvs\initcache\24__32__m__2.mat, 207963 , 2016-06-27
SNS_matlab-master\gbvs\initcache\25__32__m__2.mat, 233546 , 2016-06-27
SNS_matlab-master\gbvs\initcache\26__32__m__2.mat, 255834 , 2016-06-27
SNS_matlab-master\gbvs\initcache\27__32__m__2.mat, 275933 , 2016-06-27
SNS_matlab-master\gbvs\initcache\27__40__m__2.mat, 493321 , 2016-06-27
SNS_matlab-master\gbvs\initcache\28__32__m__2.mat, 298538 , 2016-06-27
SNS_matlab-master\gbvs\initcache\29__30__m__2.mat, 276057 , 2016-06-27
SNS_matlab-master\gbvs\initcache\30__28__m__2.mat, 250817 , 2016-06-27
SNS_matlab-master\gbvs\initcache\30__29__m__2.mat, 274672 , 2016-06-27
SNS_matlab-master\gbvs\initcache\30__40__m__2.mat, 634888 , 2016-06-27
SNS_matlab-master\gbvs\initcache\32__16__m__2.mat, 67360 , 2016-06-27
SNS_matlab-master\gbvs\initcache\32__21__m__2.mat, 139087 , 2016-06-27
SNS_matlab-master\gbvs\initcache\32__24__m__2.mat, 183556 , 2016-06-27
SNS_matlab-master\gbvs\initcache\32__25__m__2.mat, 216061 , 2016-06-27
SNS_matlab-master\gbvs\initcache\32__28__m__2.mat, 272113 , 2016-06-27
SNS_matlab-master\gbvs\initcache\32__31__m__2.mat, 374266 , 2016-06-27
SNS_matlab-master\gbvs\initcache\32__32__m__2.mat, 387401 , 2016-06-27
SNS_matlab-master\gbvs\initcache\35__40__m__2.mat, 925911 , 2016-06-27
SNS_matlab-master\gbvs\initcache\40__30__m__2.mat, 603024 , 2016-06-27
SNS_matlab-master\gbvs\initcache\40__38__m__2.mat, 1135590 , 2016-06-27

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  • textture2
    在频域下分析提取纹理特征的代码，希望对大家有用(In the frequency domain analysis of extracted texture features of the code, in the hope that useful)
    2007-11-28 10:59:24下载
    积分：1
  • imsroved-ant
    蚁群算法的另一种实现形式,通过全局的搜索,避免陷入局部解的改进程序(Another implementation form of ant colony algorithm, through global search, avoid falling into an improved program of local solution.)
    2019-05-20 23:18:13下载
    积分：1
  • matlab1
    产生高斯白噪声，已知期望和方差，这样就生成了一组随机数据(Generated white Gaussian noise of known expectation and variance, thus generating a set of random data)
    2009-07-04 17:07:21下载
    积分：1
  • barcode-scanner-master
    说明：  可以定位和扫描一维条形码EAN-13，带有例子，成功率高. 简单(barcode dectect and decode)
    2020-05-31 01:11:49下载
    积分：1
  • 基于形态学的权重自适应图像去噪
    基于形态学的权重自适应图像去噪，通过形态学的图像去噪效果，引入加权形态学去噪的应用。(Based on the morphological weight adaptive image denoising, through the morphological image denoising effect, the introduction of weighted morphological denoising application.)
    2021-04-15 22:28:54下载
    积分：1
  • 快捷抓取、查找屏幕文字图像字库
    说明：  [屏幕抓字生成字库工具与找字函数]v5.6 By FeiYue 主要功能：快捷抓取、查找屏幕文字图像，生成的代码可用于AHK脚本。v5.6 改进：颜色模式增加了对偏色的支持，方便高手在游戏中使用。([screen grabbing to generate word library tool and word finding function] V5.6 by Feiyue Main functions: quickly grab and search the text image of the screen, and the generated code can be used for AHK script. V5.6 improvement: the color mode increases the support for color deviation, which is convenient for experts to use in the game.)
    2020-03-22 14:53:40下载
    积分：1
  • qulv
    根据曲率求图像分割的方法，可以在matlab下运行。(According to the curvature of the methods for image segmentation, you can run.)
    2009-03-15 12:35:47下载
    积分：1
  • DensePose-master
    说明：  DensePose用深度学习把2D图像坐标映射到3D人体表面上，再加上以每秒多帧的速度处理密集坐标，最后实现动态人物的精确定位和姿态估计。该技术集目标检测、姿态估计、目标部分/实例分割等多种计算机视觉任务于一身的一个综合问题。(DensePost maps 2D image coordinates to 3D human body surface by in-depth learning, and processes dense coordinates at the speed of multiple frames per second. Finally, it realizes precise positioning and attitude estimation of dynamic characters. This technology integrates many kinds of computer vision tasks, such as target detection, attitude estimation, target part/instance segmentation, etc.)
    2019-06-17 21:25:31下载
    积分：1
  • zernikeSubpixelRecognization
    zernike亚像素识别算法，matlab实现。(Zernike sub-pixel recognition algorithm, matlab achieve.)
    2020-09-16 22:27:56下载
    积分：1
  • hough
    基于OpenCV的hough变换检测图像直线,本代码能够识别焊缝跟踪功能。(OpenCV based hough transform to detect linear image, the code can identify seam tracking.)
    2013-11-08 16:04:26下载
    积分：1
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