搜索资源列表
HOG
- HOG的详细介绍和源代码，以及附带详细PPT介绍，对学习HOG很有帮助-HOG detailed descr iption and source code, and the PPT with detailed descr iption, very helpful in learning HOG
OPENCVandCforLBP
- 用OpenCV和C实现的LBP算法提取图像纹理特征的源程序-OPENCVandCforLBP
45353453
- 非常好的人脸以及人眼检测的例子。OpenCV支持的目标检测的方法是利用样本的Haar特征进行的分类器训练，得到的级联boosted分类器（Cascade Classification）。注意，新版本的C++接口除了Haar特征以外也可以使用LBP特征。-Very good example of the human face and the human eye to detect. OpenCV supported target detection method is carried out us
LBP_opencv
- 用opencv实现LBP的图像纹理特征提取，实现旋转不变性-LBP with opencv image texture feature extraction to achieve rotational invariance
camTEST
- 基于adaboost人脸检测，通过LBP人脸识别的C++程序，视频源采用摄像头（视频采集这块用到OPENCV，如果用的话先下载OPENCV244，这里就不上传了）。-Adaboost based face detection, face recognition by LBP C++ program, the video source using the camera (video capture this use OPENCV, if used to download OPENCV244, he
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
hogPlbpPsvm
- 该代码是通过opencv来实现结合hog和lbp特征，通过支持向量机来进行分类决策时实现行人的检测代码，有兴趣的同学可以下载参考下！-The code is done by opencv combined with the feature of hog and LBP, by support vector machine (SVM) classification decisions to achieve the pedestrian detection code, students are in
LBP2
- 提取lbp特征，基于opencv的。简单代码-lbp feature
face-recognition
- 生物特征识别变得越来越重要，程序为基于opencv的LBP人脸识别算法-Biometrics is becoming more and more important, the program for LBP face recognition algorithm based on opencv
GMM-GMR-v2.0
- 利用混合高斯模型对背景图像进行建模，所谓“混合高斯”的意思就是每个像素都是由多个单高斯分布混合组成的。-Name of the file which the classifier is loaded. Only the old haar classifier (trained by the haar training application) and NVIDIA s nvbin are supported for HAAR and only new type of OpenCV XML ca
MTCNN-light-master
- face detection with CNN, much better effect than haar in opencv and lbp in opencv