搜索资源列表
EMP-shape
- 这是国外关于addaboot算法中，gentle boost算法采用stump分类器所得出结果比direct boost 和real boost 算法好的实验论文。-This is abroad on addaboot algorithm, gentle boost classifier algorithm stump than direct boost the outcome of the algorithm and the real boost good experimental paper
fisher
- 在VC环境下fisher分类器的实现， 主要运用了opencv里的矩阵操作-VC Environment in the implementation of fisher classifier, mainly used in the matrix operations ~~~~~~~ opencv
facedet
- 人脸检测算法对Haar特征推进，我们已经改善了大幅利用作为弱分类器的阈值中的累积概率分布点。-A face detector based on VJ algorithm (Boosting on HAAR features). We have improved the performance drastically by using mid cumulative probability distribution point as threshold for weak classifiers.
naivebayes
- 已调试好的基于贝叶斯判别的手写体数字识别的matlab实现，包括样本图片的预处理、创建朴素贝叶斯分类器对象和检验判别效果的程序源代码大全-failed to translate
peopledetect
- 检测摄像头中的行人。使用OPENCV 默认的SVM分类器-Pedestrian detection in the camera. Use the default SVM classifier OPENCV
Boca
- 嘴的检测分类器人脸检测代码opencv 中专用-Mouth detection classifier
Eyes22x5.1
- 基于opencv的人眼检测分类器，检测精度还不错，希望能给大家带来一些帮助-Opencv eye detection based on the classification, detection accuracy is also good, hope we can bring some help
knn
- knn分类器的设计源程序，经过测试能事功能-knn classifier design source, function tested wiles
Face-Detection
- 基于Adaboost级联分类的人脸和人眼检测，其中的三个xml是Adaboost分类器参数-Adaboost cascade based on the human face and eye detection, three of which are Adaboost classifier parameters xml
Face
- 基于Harr分类器的，人脸识别，模式识别-pattern recognition for face base on Harr
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
How-to-build-classifier-
- 如何利用opencv训练自己的分类器，内有多篇资料，本人用过一次，可能样本太少，效果不太好-How-to build a cascade of boosted classifiers based on Haar-like features.
haarcascade_fullbody
- opencv提供的行人检测分类器。可以在图像中检测到行人的位置-opencv provide pedestrian detection classifier. Can be detected in the image location of the pedestrian
facedetect
- 基于openCV的多角度人脸检测，融合了正脸侧脸haar分类器，具有极强鲁棒性-, The integration of multi-angle face detection based on openCV positive face side faces haar classifier, with strong robustness
CascadeClassifierTest
- 基于OpenCV CascadeClassifier的人脸和人眼检测代码,用到两个训练好的分类器-Good classifier based the OpenCV CascadeClassifier face and eye detection code, used in the two training
haarcascade_frontalface_alt2
- OpenCV人脸检测分类器，Haar 特征-OpenCV face recognition classier，Haar features
human_face_detection_system
- 本文的目的是借助Paul Viola最新提出的实时特征检测的技术，实现一个能够进行快速人脸检测的系统。并且通过训练，得到尽可能优化的分类器构造参数，从而获得具有高检测速度和检测正确率的人脸检测系统。-The purpose of this paper by drawing on the latest proposed by Paul Viola real-time feature detection technology, to realize a fast face detection sys
Haar_classfy_target
- 利用Haar分类器寻找检测目标，进行跟踪-The use of Haar classifiers to find the target detection, tracking
zifushibie
- 有数字1和2的图片各四十张，利用mat lab读取图片并将其二值化，得到只由0和1表示的矩阵，根据数字的不同特征，选择两个特征值，用来对分类器进行训练，最后用剩下的5个1和5个2来进行测试，看分类器是否可以正确的对数据进行分类。-Figures 1 and 2 pictures of the 40, using mat lab picture and secondly, the value of reading, and received only by 0 and 1, said matrix
LDA2D-2
- 人脸识别中2DLDA算法的matlab程序，使用最近邻分类器进行识别。-Face Recognition 2DLDA algorithm matlab procedures, the use of nearest neighbor classifier to identify.