搜索资源列表
LBP_h
- 简单LBP实现,基于最原始的局部二值模式对于图片特征进行提取。-Simple experiment on LBP, we get pictures features based on initial Local Binary Pattern.
facial-expression-recognition
- 主要采用LBP+LPQ队表情特征进行提取,后用SVM的方法对表情进行分类识别-Mainly uses the LBP+LPQ team facial expression features to extract, after using the SVM method to classify the facial expression recognition
lbp1
- 局部二值模式(LBP),用于人脸识别局部文理特征的提取-Local binary pattern( LBP), local arts and feature extraction for Face Recognition
lmp
- 局部多值模式LMP,对lbp的改进算法,用于人脸识别局部文理特征的提取- Partial multiple- valued model LMP, improvements to the LBP algorithm for Face Recognition Feature extraction of local arts and sciences
CLBP
- 使用改进的LBP算法CLBP实现图像纹理特征的提取,并使用卡方统计方法计算类间距离并实现图像分布。本人已经实验,对15类病毒图像进行分类,不调任何参数的情况下实现67 以上的准确率。- Using an improved algorithm CLBP LBP texture feature extraction of image, and use the chi-square statistic calculated inter-class distance and achieve imag
MATLAB
- 图片常用纹理特征的提取方法集合,包括灰度共生矩阵,LBP,CABER等-the methods of texture feature extreation
huang
- 1维LBP算法,在一维上做LBP算法,用于提取微表情特征-1-dimension LBP,abstract microfacial expression features
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