登录
首页 » matlab » LBP-TOP

LBP-TOP

于 2021-03-26 发布
0 287
下载积分: 1 下载次数: 1

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
LBP-TOP\micro-exprssion\.git\objects\2c\bcea9d35508ba5502c653489190aadc4f4ee93, 558 , 2020-07-28
LBP-TOP\micro-exprssion\.git\objects\39, 0 , 2020-07-28
LBP-TOP\micro-exprssion\.git\objects\39\d69fe28ae4caf1eb6d30ca9fa98e1e81af85d5, 179 , 2020-07-28
LBP-TOP\micro-exprssion\.git\objects\3c, 0 , 2020-07-28
LBP-TOP\micro-exprssion\.git\objects\3c\774ce19fd602f37c3e43f60c38e6640ae45b5e, 143 , 2020-07-28
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
LBP-TOP\micro-exprssion\.git\objects\4b, 0 , 2020-07-28
LBP-TOP\micro-exprssion\.git\objects\4b\825dc642cb6eb9a060e54bf8d69288fbee4904, 15 , 2020-07-28
LBP-TOP\micro-exprssion\.git\objects\4c, 0 , 2020-07-28
LBP-TOP\micro-exprssion\.git\objects\4c\eaf166b8a0900022aecc784aa6c847ea317d85, 572 , 2020-07-28
LBP-TOP\micro-exprssion\.git\objects\55, 0 , 2020-07-28
LBP-TOP\micro-exprssion\.git\objects\55\080c61f40b1df727d5b17f77ffb3ce2bf0665c, 97 , 2020-07-28
LBP-TOP\micro-exprssion\.git\objects\5a, 0 , 2020-07-28
LBP-TOP\micro-exprssion\.git\objects\5a\5447ee0db3ebe8de119e61bb313e89436d4695, 480 , 2020-07-28
LBP-TOP\micro-exprssion\.git\objects\5d, 0 , 2020-07-28
LBP-TOP\micro-exprssion\.git\objects\5d\78563fb320d142d2b478d5dd9420e27b8cb65c, 946 , 2020-07-28
LBP-TOP\micro-exprssion\.git\objects\61, 0 , 2020-07-28
LBP-TOP\micro-exprssion\.git\objects\61\9b791a11caa63651730e5c1d763f2d54d5f35d, 143 , 2020-07-28
LBP-TOP\micro-exprssion\.git\objects\65, 0 , 2020-07-28
LBP-TOP\micro-exprssion\.git\objects\65\a9dcd487f5b7b51165c1eb0cf2744e933b6cb1, 99 , 2020-07-28
LBP-TOP\micro-exprssion\.git\objects\75, 0 , 2020-07-28

下载说明:请别用迅雷下载,失败请重下,重下不扣分!

发表评论

0 个回复

  • DualchnnelPCNN
    说明:  通过双通道PCNN来实现多源图像融合,算法简单易于实现(image fusion using dual channel PCNN)
    2010-04-29 17:52:33下载
    积分:1
  • 1
    说明:  一个SAR目标边缘自动检测与定位算法的一个车辆检测的视频(A vehicle detection, an automatic detection and localization of SAR edge algorithm of video)
    2013-08-24 16:16:59下载
    积分:1
  • KPCA
    说明:  快速的人脸特征提取算法KPCA,比普通的pca特征提取算法在效率上好了不少(Fast facial feature extraction algorithm KPCA, than ordinary PCA feature extraction algorithm in the efficiency of a good many)
    2008-10-14 18:28:42下载
    积分:1
  • ex_2
    精通MATLAB图像处理第2章所有的程序代码或实例代码(Proficient in MATLAB image processing Chapter 2 program code or code examples)
    2013-05-21 15:05:39下载
    积分:1
  • digimgprocess
    此压缩包包含了数字图像处理算法的基本M函数和ICE界面定制的M函数。(This package includes the digital image processing algorithms of the basic M function and ICE interface customized M function.)
    2008-01-08 15:29:29下载
    积分:1
  • 双相位编码彩色图像加密
    说明:  采用双相位编码对图像进行加密解密,采用双随机相位加密技术得到的 S 分量的相息图, 在加密的过 程中引进了随机相位因子, 在不知密钥的情况下解 密出 S 分量几乎不可能, 从而保证了的安全性(Two phase encoding is used to encrypt and decrypt the image)
    2020-10-28 21:26:22下载
    积分:1
  • ImagePCA
    该类计算图像的主分量,特征值,特征向量,并且使用主分量重构.(The main components of such calculation of the image, feature values, feature vectors, and the use of principal component reconstruction.)
    2009-11-03 09:43:45下载
    积分:1
  • Image-segmentation-Extraction
    说明:  图像分割加特征提取的算法,一起分享,共同研究,共同进步(Add feature extraction image segmentation algorithms, along with sharing, joint research, and common progress)
    2008-09-30 14:37:16下载
    积分:1
  • Application_study_of_wavelet_analysis_on_ultrasoni
    说明:  :在深海采矿环境中超声波传输介质里存在着大量气泡、扰动沉积物、机械噪声等背景噪声与混响,导致有用信号与高 噪声信号迭加在一起,严重影响了测距精度。采用小波分析方法将超声回波信号进行3层小波分解,适当设置门限阈值对小波 系数进行处理,然后对信号进行重构,有效地抑制了信号中噪声对测量精度的影响。研究结果表明:小波方法有很好的降低回 波信号中噪声的效果,其测距精度高于自适应滤波去噪后的测距精度。(There are much background and mixture noise in the course of ultrasonic wave transmission under deep sea mining environment,such as air bubbles and disturbed sediment and mechanical noise.Because of these factors, the useful signals and the high noise signals are combined together,which seriously affects the distance measurement precision.Ultrasonic echo signals are decomposed into three layer wavelets,and a threshold is set to process the wavelet coeficients.Then the signals are reconstructed.Accordingly the influence of environment noise on distance measurement precision is effectively restrained.Research resuhs indicate that wavelet transform method is very useful for noise reduction in signals.Its precision is higher than that of the adaptive filtering method.)
    2010-04-24 08:14:49下载
    积分:1
  • sslle
    semi-supervised learning 半监督局部线性嵌入(semi-supervised learning )
    2021-02-08 16:29:54下载
    积分:1
  • 696516资源总数
  • 106914会员总数
  • 0今日下载