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LBP-TOP

于 2021-03-26 发布
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代码说明：

说明：  微表情识别代码，可以识别高兴，悲伤，痛苦，愤怒等微表情。(Micro expression recognition code)

文件列表：

LBP-TOP, 0 , 2020-07-28
LBP-TOP\micro-exprssion, 0 , 2020-07-28
LBP-TOP\micro-exprssion\.git, 0 , 2020-07-28
LBP-TOP\micro-exprssion\.git\HEAD, 23 , 2020-07-28
LBP-TOP\micro-exprssion\.git\config, 313 , 2020-07-28
LBP-TOP\micro-exprssion\.git\description, 73 , 2020-07-28
LBP-TOP\micro-exprssion\.git\hooks, 0 , 2020-07-28
LBP-TOP\micro-exprssion\.git\hooks\applypatch-msg.sample, 478 , 2020-07-28
LBP-TOP\micro-exprssion\.git\hooks\commit-msg.sample, 896 , 2020-07-28
LBP-TOP\micro-exprssion\.git\hooks\fsmonitor-watchman.sample, 3327 , 2020-07-28
LBP-TOP\micro-exprssion\.git\hooks\post-update.sample, 189 , 2020-07-28
LBP-TOP\micro-exprssion\.git\hooks\pre-applypatch.sample, 424 , 2020-07-28
LBP-TOP\micro-exprssion\.git\hooks\pre-commit.sample, 1638 , 2020-07-28
LBP-TOP\micro-exprssion\.git\hooks\pre-push.sample, 1348 , 2020-07-28
LBP-TOP\micro-exprssion\.git\hooks\pre-rebase.sample, 4898 , 2020-07-28
LBP-TOP\micro-exprssion\.git\hooks\pre-receive.sample, 544 , 2020-07-28
LBP-TOP\micro-exprssion\.git\hooks\prepare-commit-msg.sample, 1492 , 2020-07-28
LBP-TOP\micro-exprssion\.git\hooks\update.sample, 3610 , 2020-07-28
LBP-TOP\micro-exprssion\.git\index, 377 , 2020-07-28
LBP-TOP\micro-exprssion\.git\info, 0 , 2020-07-28
LBP-TOP\micro-exprssion\.git\info\exclude, 240 , 2020-07-28
LBP-TOP\micro-exprssion\.git\logs, 0 , 2020-07-28
LBP-TOP\micro-exprssion\.git\logs\HEAD, 191 , 2020-07-28
LBP-TOP\micro-exprssion\.git\logs\refs, 0 , 2020-07-28
LBP-TOP\micro-exprssion\.git\logs\refs\heads, 0 , 2020-07-28
LBP-TOP\micro-exprssion\.git\logs\refs\heads\master, 191 , 2020-07-28
LBP-TOP\micro-exprssion\.git\logs\refs\remotes, 0 , 2020-07-28
LBP-TOP\micro-exprssion\.git\logs\refs\remotes\origin, 0 , 2020-07-28
LBP-TOP\micro-exprssion\.git\logs\refs\remotes\origin\HEAD, 191 , 2020-07-28
LBP-TOP\micro-exprssion\.git\objects, 0 , 2020-07-28
LBP-TOP\micro-exprssion\.git\objects\02, 0 , 2020-07-28
LBP-TOP\micro-exprssion\.git\objects\02\103597c2b3020cfd3a8afae2b6eeb2cccfb6eb, 369 , 2020-07-28
LBP-TOP\micro-exprssion\.git\objects\03, 0 , 2020-07-28
LBP-TOP\micro-exprssion\.git\objects\03\ece117f998cf241d712635bd038af3ae3754c4, 123 , 2020-07-28
LBP-TOP\micro-exprssion\.git\objects\09, 0 , 2020-07-28
LBP-TOP\micro-exprssion\.git\objects\09\5b21d7d8219f8199a4cae596d26d596a346025, 195 , 2020-07-28
LBP-TOP\micro-exprssion\.git\objects\0a, 0 , 2020-07-28
LBP-TOP\micro-exprssion\.git\objects\0a\5d188dbe55a0b25615d964ff95fb0e8b53585e, 324 , 2020-07-28
LBP-TOP\micro-exprssion\.git\objects\0d, 0 , 2020-07-28
LBP-TOP\micro-exprssion\.git\objects\0d\3641c7c32c0716823399b1921d8b75ac818835, 574 , 2020-07-28
LBP-TOP\micro-exprssion\.git\objects\0e, 0 , 2020-07-28
LBP-TOP\micro-exprssion\.git\objects\0e\823ec6c4a2e35f5301d5b03e1914263f900aa6, 178 , 2020-07-28
LBP-TOP\micro-exprssion\.git\objects\13, 0 , 2020-07-28
LBP-TOP\micro-exprssion\.git\objects\13\571ea5d8b6e4b83ea4e8372f27feb7366cf7f4, 298 , 2020-07-28
LBP-TOP\micro-exprssion\.git\objects\16, 0 , 2020-07-28
LBP-TOP\micro-exprssion\.git\objects\16\bb3fcabbe189c5245d7f7908a314158dc5e4f2, 812 , 2020-07-28
LBP-TOP\micro-exprssion\.git\objects\1b, 0 , 2020-07-28
LBP-TOP\micro-exprssion\.git\objects\1b\5d3428ed672f9f2407df27ba871459c7db80a9, 236 , 2020-07-28
LBP-TOP\micro-exprssion\.git\objects\1c, 0 , 2020-07-28
LBP-TOP\micro-exprssion\.git\objects\1c\710f721152e5c8ddd64740f5f27ef89a4ed348, 60 , 2020-07-28
LBP-TOP\micro-exprssion\.git\objects\1e, 0 , 2020-07-28
LBP-TOP\micro-exprssion\.git\objects\1e\22b55c05c09be7cfc5b2d42e9da7d3ca2ce365, 54 , 2020-07-28
LBP-TOP\micro-exprssion\.git\objects\1f, 0 , 2020-07-28
LBP-TOP\micro-exprssion\.git\objects\1f\6e4d14d0e36c43590da3e40a1eccf780bf44e1, 567 , 2020-07-28
LBP-TOP\micro-exprssion\.git\objects\26, 0 , 2020-07-28
LBP-TOP\micro-exprssion\.git\objects\26\e65a90e1eae9e74001393629fd0b61af8c1210, 364 , 2020-07-28
LBP-TOP\micro-exprssion\.git\objects\27, 0 , 2020-07-28
LBP-TOP\micro-exprssion\.git\objects\27\28c89532b3087f8b50787ff28733f08c6846fb, 421 , 2020-07-28
LBP-TOP\micro-exprssion\.git\objects\28, 0 , 2020-07-28
LBP-TOP\micro-exprssion\.git\objects\28\ad00e4bd09ad77777d28477f8cb5ebb4f62780, 202 , 2020-07-28
LBP-TOP\micro-exprssion\.git\objects\29, 0 , 2020-07-28
LBP-TOP\micro-exprssion\.git\objects\29\371d66f7ba18e6bc558de0ff73e6fc9262e057, 2481 , 2020-07-28
LBP-TOP\micro-exprssion\.git\objects\2a, 0 , 2020-07-28
LBP-TOP\micro-exprssion\.git\objects\2a\4a3ce823a70069a6ce611ffea26ff244009347, 199 , 2020-07-28
LBP-TOP\micro-exprssion\.git\objects\2b, 0 , 2020-07-28
LBP-TOP\micro-exprssion\.git\objects\2b\500342919e7488bf4c6498c123e08c61d47c11, 566 , 2020-07-28
LBP-TOP\micro-exprssion\.git\objects\2c, 0 , 2020-07-28
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LBP-TOP\micro-exprssion\.git\objects\3d, 0 , 2020-07-28
LBP-TOP\micro-exprssion\.git\objects\3d\d3b334cd7750106c4275e3d18debb82e5fa8ed, 236 , 2020-07-28
LBP-TOP\micro-exprssion\.git\objects\3f, 0 , 2020-07-28
LBP-TOP\micro-exprssion\.git\objects\3f\9ae5292920df36d20251889e573a1fac3c7bef, 567 , 2020-07-28
LBP-TOP\micro-exprssion\.git\objects\43, 0 , 2020-07-28
LBP-TOP\micro-exprssion\.git\objects\43\c964ee3c80934cb1b9f0b374bc1244dd558ee8, 1214 , 2020-07-28
LBP-TOP\micro-exprssion\.git\objects\43\e305ec9b9349042d912321b256bbf9c188bb59, 364 , 2020-07-28
LBP-TOP\micro-exprssion\.git\objects\44, 0 , 2020-07-28
LBP-TOP\micro-exprssion\.git\objects\44\65350ded9e832ef05adc1699947bdfd357f199, 73 , 2020-07-28
LBP-TOP\micro-exprssion\.git\objects\45, 0 , 2020-07-28
LBP-TOP\micro-exprssion\.git\objects\45\e813d1b351bc749da129f9de9e5607523fad51, 774 , 2020-07-28
LBP-TOP\micro-exprssion\.git\objects\4a, 0 , 2020-07-28
LBP-TOP\micro-exprssion\.git\objects\4a\6a037715ae3eb326f91a8bcf4ab5211e31387a, 863 , 2020-07-28
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发表评论

0 个回复

  • VCPPqiangda-tuxiang-chuli
    先进行图像预处理，比如Hough变换，边沿检测，还有差影法，模板提取 ，识别，跟踪，最后是模板匹配。(First image preprocessing, such as the Hough transform, edge detection, as well as poor shadow method, template extraction, identification, tracking, and finally the template matching.)
    2012-03-16 14:33:20下载
    积分：1
  • DenoisingAlgorithm
    出自较新的国际会议论文的图像去噪算法实现。对自然图像的去噪非常有效，即可以自己实际使用，也可以进一步研究学习。(From a relatively new international conference papers realize the image denoising algorithm. Denoising of natural images are very effective, that is their actual use, can also further study.)
    2008-04-20 14:09:53下载
    积分：1
  • S_R
    图像稀疏表示源代码，实现输入图像的稀疏表示，有MOP,KSVD等算法(Matlab m-file code of Iamge Representation,it can run，contains MOP，KSVD.)
    2014-08-25 18:01:47下载
    积分：1
  • yichuansuanfaimageseg
    遗传算法与BP神经网络结合，可以进行彩色图像和灰度图像的分割。(Genetic algorithm and BP neural networks that can be color images and gray-scale image segmentation.)
    2008-12-24 17:04:47下载
    积分：1
  • imagejiansuo
    图像处理的简单程序，适合初学者，自己好好看看(Simple image processing procedures, suitable for beginners, its a good look)
    2010-05-28 16:14:09下载
    积分：1
  • deconvolution
    图像盲去卷积复原程序，matlab6.5验证可以运行(image deconvolution )
    2011-07-07 13:09:04下载
    积分：1
  • Log convert
    说明：  用C++实现的对数变换达到图像增强效果，代码亲测可用(Logarithmic transformation realized by C++ achieves image enhancement effect, and code pro-test is available.)
    2019-05-12 09:42:49下载
    积分：1
  • dct
    对图像进行离散余弦变换处理（图像变换）的源代码，编译后的可执行文件须带参数运行(Image discrete cosine transform (image transformation) source code, compiled executable file carry operation parameters)
    2013-05-09 21:51:21下载
    积分：1
  • vibeforpi
    ViBE背景建模算法，从 PC上移植改编，可在嵌入式上运行，效率较高(ViBE background modeling algorithm, coded PC to imbeded. )
    2020-12-02 10:59:25下载
    积分：1
  • 拼接
    说明：  这个例子展示了如何使用proj_match_points_transformtion_ransac在拼接应用程序中观察两个图像。(This example shows how to use proj_match_points_distortion_ransac tomatch two images in a mosaicking application.)
    2020-06-22 12:00:01下载
    积分：1
  • 696516资源总数
  • 106914会员总数
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