搜索资源列表
Light-preprocessing
- 这是谭晓阳提出的一条光照预处理链的实现代码，适合LBP/LTP人脸识别算法-This is TanXiaoYang proposed a light chain implementation code of pretreatment, suitable for LBP/MTP/LTP face recognition algorithm
lbp
- 基于opencv的lbp算法实现，只是实现lbp图谱的转化，没有人脸识别部分的代码-Based opencv LBP algorithm just lbp map conversion, no face recognition part of the code
IMTFaceRecognition2
- 人脸识别系统。有图像窗口文件。基于lbp算法实现的人脸识别。-Face recognition system. Image window file. Face recognition based on LBP algorithm.
LBP
- LBP算法的实现，使用opencv显示处理后的图像-LBP algorithm, using the image display processing opencv
LBP
- 用opencv实现LBP算法。通过一个3*3的模板在图像矩阵上滑动，用模板四周的八领域像素和中间的像素值比较，大于的为1，小于的为0，从左上角顺时针排列，然后转化为十进制放在模板中间的对应位置。-LBP algorithm with opencv. Through a 3* 3 matrix template image slide, with the template field of eight around the center pixel and the pixel value comp
LBP
- 本程序是在vs2010上实现的LBP算法，根据已有matlab程序完全自己编写-This program is on vs2010 LBP algorithm implemented in accordance with existing procedures matlab written completely on my own
lbp
- c++编写的简单的LBP程序，在VC2008+opencv2.4.6下运行成功,能够很好的显示人脸纹理。-A simple c++ code of LBP algorithm, it can be successfully operated on VC2008 with opencv 2.4.6.
Face_Recognition_LBP
- 基于opencv的经典的LBP人脸识别算法-The classic LBP face recognition algorithm based on opencv
LBP
- 利用Opencv实现LBP算法，完成图像特征提取-LBP algorithm utilizing Opencv achieve complete image feature extraction
RGBN_PF
- 一种多目标特征融合跟踪算法，特征采用的是颜色特征和改进的LBP纹理特征-A multiple target features fusion tracking algorithm, feature is based on color feature and improved LBP texture feature
lbp-facedetect(opencv)
- 基于opencv lbp的人脸检测算法，利用facedetect函数快速检测到人脸，提高检测速度，优化检测方法。-Face detection algorithm based on LBP facedetect, using OpenCV function to quickly detect human face, improve the detection speed, and optimize the detection method.
lbp_pro
- C++实现的LBP算法提取图像纹理特征, 对“飞龙”的《LBP》例程重新实现-C++ implementation of the LBP texture feature extraction algorithm, C++ implementation of the LBP algorithm for extracting image texture features
faceRecognization
- 本程序中，利用了LBP特征对人脸特征进行提取，并且利用SVM对提取的人脸特征进行训练和识别，其中，所用的图像处理库OpenCV2.4.9版本；通过对人脸库中的标准标本进行测试，算法识别率高达95%以上；(LBP features extract facial features, and use SVM to extract and recognize the facial features. The OpenCV2.4.9 version of the image processing libr
S1IM159.【已完成】基于SVM的烟雾识别系统
- 基于SVM的烟雾识别系统 运动区域提取使用的是 自适应混合高斯背景建模 特征算法使用的是 HOG+LBP 机器学习方法使用的是 scikit的SVM(Smoke recognition system based on SVM The moving region extraction uses adaptive Gaussian mixture background modeling feature algorithm, hog + LBP machine learning method