OpenCV产生人脸正样本

本文介绍如何使用OpenCV进行人脸检测,并从图片中截取人脸部分进行保存。通过加载Haar特征分类器,实现对一系列图像的人脸检测与标记,同时将检测到的人脸区域保存为独立文件。
#include "stdafx.h"
#include <opencv2/opencv.hpp>
#include <cstdio>
#include <cstdlib>
#include <Windows.h>
#include <iostream>
#include <fstream>

using namespace std;

#define GENERTATE 1
#if GENERTATE == 1
int main()
{
	int filename = 0;
	// 加载Haar特征检测分类器
	// haarcascade_frontalface_alt.xml系OpenCV自带的分类器 下面是我机器上的文件路径
	const char *pstrCascadeFileName = "D:\\opencv\\sources\\data\\haarcascades\\haarcascade_frontalface_alt.xml";
	CvHaarClassifierCascade *pHaarCascade = NULL;
	pHaarCascade = (CvHaarClassifierCascade*)cvLoad(pstrCascadeFileName);


	
	// 载入图像
	char pstrImageName[100];
	for (int fileinput = 1; fileinput < 100; fileinput++)
	{
		sprintf(pstrImageName, "C:\\Users\\_Phoenix_Luo\\Desktop\\新建文件夹\\generateFace\\face\\%d.png", fileinput);
		IplImage *pSrcImage = cvLoadImage(pstrImageName, CV_LOAD_IMAGE_UNCHANGED);
		if (pSrcImage)
		{
			IplImage *pSrcImage = cvLoadImage(pstrImageName, CV_LOAD_IMAGE_UNCHANGED);

			IplImage *pGrayImage = cvCreateImage(cvGetSize(pSrcImage), IPL_DEPTH_8U, 1);
			if (pSrcImage->nChannels >= 3)
				cvCvtColor(pSrcImage, pGrayImage, CV_BGR2GRAY);
			else
				cvCopy(pSrcImage, pGrayImage); //复制图像 //pGrayImage = pSrcImage;

			// 人脸识别与标记
			if (pHaarCascade != NULL)
			{
				CvScalar FaceCirclecolors[] =
				{
					{ { 0, 0, 255 } },
					{ { 0, 128, 255 } },
					{ { 0, 255, 255 } },
					{ { 0, 255, 0 } },
					{ { 255, 128, 0 } },
					{ { 255, 255, 0 } },
					{ { 255, 0, 0 } },
					{ { 255, 0, 255 } }
				};

				CvMemStorage *pcvMStorage = cvCreateMemStorage(0);
				cvClearMemStorage(pcvMStorage);
				// 识别
				DWORD dwTimeBegin, dwTimeEnd;
				dwTimeBegin = GetTickCount();
				CvSeq *pcvSeqFaces = cvHaarDetectObjects(pGrayImage, pHaarCascade, pcvMStorage);
				dwTimeEnd = GetTickCount();

				printf("人脸个数: %d   识别用时: %d ms\n", pcvSeqFaces->total, dwTimeEnd - dwTimeBegin);

				// 标记
				for (int i = 0; i <pcvSeqFaces->total; i++)
				{
					CvRect* r = (CvRect*)cvGetSeqElem(pcvSeqFaces, i);
					CvPoint center;
					int radius;
					center.x = cvRound((r->x + r->width * 0.5));
					center.y = cvRound((r->y + r->height * 0.5));
					radius = cvRound((r->width + r->height) * 0.25);

					//----------------------------------
					//CvSize size = cvSize(24, 24);//区域大小

					//cvSetImageROI(pGrayImage, cvRect(r->x, r->y, r->width, r->height));//设置源图像ROI

					//IplImage* pDest = cvCreateImage(size, pGrayImage->depth, pGrayImage->nChannels);//创建目标图像

					//cvCopy(pGrayImage, pDest); //复制图像

					//cvResetImageROI(pGrayImage);//源图像用完后,清空ROI

					//cvSaveImage("Roi.png", pDest);//保存目标图像

					CvSize size = cvSize(24, 24);//区域大小
					IplImage* pDest = cvCreateImage(size, pGrayImage->depth, pGrayImage->nChannels);//创建目标图像
					cvSetImageROI(pGrayImage, cvRect(r->x, r->y, r->width, r->height));//设置源图像ROI

					cvResize(pGrayImage, pDest);//缩放img图像,并将数据拷贝到img1 cvResize(src, dst, CV_INTER_LINEAR); //缩放源图像到目标图像   
					//cvCopy(pGrayImage, pDest); //复制图像
					cvResetImageROI(pGrayImage);//这句是必须的,在img1的ROI区域显示img
					char str[200] = { 0 };

						IplImage *exist = NULL;
						do{
							filename++;
							sprintf(str, "C:\\Users\\_Phoenix_Luo\\Desktop\\新建文件夹\\generateFace\\FrontScenedistribute\\face1\\%d.png", filename);
							exist = cvLoadImage(str, CV_LOAD_IMAGE_UNCHANGED);
						} while (exist);
						cvReleaseImage(&exist);
						cvSaveImage(str, pDest);//保存目标图像

					//----------------------------------
					//cvCircle(pSrcImage, center, radius, FaceCirclecolors[i % 8], 2);
				}
				cvReleaseMemStorage(&pcvMStorage);
			}

			//const char *pstrWindowsTitle = "人脸识别 (http://blog.youkuaiyun.com/MoreWindows)";
			//cvNamedWindow(pstrWindowsTitle, CV_WINDOW_AUTOSIZE);
			//cvShowImage(pstrWindowsTitle, pSrcImage);

			//cvWaitKey(0);

			//cvDestroyWindow(pstrWindowsTitle);
			cvReleaseImage(&pSrcImage);
			cvReleaseImage(&pGrayImage);

			fileinput++;
		}
	}
	
	printf("generate %d face image\n", filename);
	return 0;
}
#elif GENERTATE == 0

#endif

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