基于图像的人脸识别 [英] Image based face recognition

问题描述

我已经编写了以下代码，用于从文件夹中读取两个图像，并在其上应用fisherface训练算法，有两个人的图像，我已阅读....谁能告诉我如何进行代码如何识别人之间这两张图片???



我的尝试：

I have write the below code for reading two images from folder and apply fisherface training algorithm on them there are two person images that i have read....can anyone tell me how to proceed the code for how to recognised person between these two images???

What I have tried:

#include 
#include 
#include <iostream>
#include <stdio.h>
#include 
#include 
using namespace cv;
using namespace std;
const char *facerecAlgorithm = "FaceRecognizer.Fisherfaces";
int main()
{
string facerecAlgorithm = "FaceRecognizer.Fisherfaces";
Ptr<facerecognizer> model;

// Make sure the "contrib" module is dynamically loaded at runtime.
// Requires OpenCV v2.4.1 or later (from June 2012), otherwise the FaceRecognizer will not compile or run!
bool haveContribModule = initModule_contrib();
if (!haveContribModule) 
{
cerr << "ERROR: The 'contrib' module is needed for FaceRecognizer but has not been loaded into OpenCV!" << endl;
exit(1);
}
else
{
cout << "\ncontrib module is successfully loaded" << std::endl;	
}


model = Algorithm::create<facerecognizer>(facerecAlgorithm);

if (model.empty()) 
{
cerr << "ERROR: The FaceRecognizer [" << facerecAlgorithm;
cerr << "] is not available in your version of OpenCV. ";
cerr << "Please update to OpenCV v2.4.1 or newer." << endl;
exit(1);
}
else
{
cout << "\nFisherFaceRecognizer is successfully loaded" << std::endl;	
}

cout << "\nFisherFaceRecognizer training starting......" << std::endl;

// holds images and labels
vector<mat> images;
vector<int> labels;

// images for first person
images.push_back(imread("1.jpg", CV_LOAD_IMAGE_GRAYSCALE)); labels.push_back(0);
images.push_back(imread("3.jpg", CV_LOAD_IMAGE_GRAYSCALE)); labels.push_back(0);
images.push_back(imread("5.jpg", CV_LOAD_IMAGE_GRAYSCALE)); labels.push_back(0);

// images for second person
images.push_back(imread("2.jpg", CV_LOAD_IMAGE_GRAYSCALE)); labels.push_back(1);
images.push_back(imread("4.jpg", CV_LOAD_IMAGE_GRAYSCALE)); labels.push_back(1);

// This is the common interface to train all of the available cv::FaceRecognizer
// implementations
model->train(various_images, labels);

cout << "\nFisherFaceRecognizer training finished......" << std::endl;
return 0;
}</int></mat></facerecognizer></facerecognizer></stdio.h></iostream>

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