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C/C++（132）
本文实现基于eigenface的人脸检测与识别。给定一个图像数据库，进行以下步骤：进行人脸检测，将检测出的人脸存入数据库2对数据库2进行人脸建模在测试集上进行recognition本篇实现第一步：进行人脸检测，将检测出的人脸存入数据库2环境：vs2010+opencv 2.4.6.0特征：eigenfaceInput：一个人脸数据库，15个人，每人20个样本（左右）。Output：人脸检测，并识别出每张检测到的人脸。===============================本文完成第一步，数据预处理：自动检测所有文件夹中每个sample中的人脸，作为训练数据。Input：一个color文件夹，每个文件夹中有1~N这N个子文件夹，每个子文件夹内有n张包括第n类人的照片，如图。最终结果：核心：face detection（detectAndDraw）辅助：截图并保存部分图片(CutImg)，文件夹内图片遍历(read_img)，图片转换成相同大小（normalizeone）括号内分别是函数名，下面分别给出代码及说明。1. 遍历文件夹：CBrowseDir类和CStatDir类（具体见），三个文件如下：1.1 BrowseDir.h#pragma once
#include &direct.h&
#include &string.h&
#include &io.h&
#include &stdio.h&
#include &vector&
#include &iostream&
class CBrowseDir
protected:
char m_szInitDir[_MAX_PATH];
CBrowseDir();
bool SetInitDir(const char *dir);
bool BeginBrowse(const char *filespec);
vector&char*& BeginBrowseFilenames(const char *filespec);
protected:
bool BrowseDir(const char *dir,const char *filespec);
vector&char*& GetDirFilenames(const char *dir,const char *filespec);
virtual bool ProcessFile(const char *filename);
virtual void ProcessDir(const char *currentdir,const char *parentdir);
};1.2 BrowseDir.cpp#include &BrowseDir.h&
#include &direct.h&
#include &string.h&
#include &io.h&
#include &stdio.h&
#include &vector&
#include &iostream&
CBrowseDir::CBrowseDir()
getcwd(m_szInitDir,_MAX_PATH);
int len=strlen(m_szInitDir);
if (m_szInitDir[len-1] != '\\')
strcat(m_szInitDir,&\\&);
bool CBrowseDir::SetInitDir(const char *dir)
if (_fullpath(m_szInitDir,dir,_MAX_PATH) == NULL)
if (_chdir(m_szInitDir) != 0)
int len=strlen(m_szInitDir);
if (m_szInitDir[len-1] != '\\')
strcat(m_szInitDir,&\\&);
vector&char*&CBrowseDir:: BeginBrowseFilenames(const char *filespec)
ProcessDir(m_szInitDir,NULL);
return GetDirFilenames(m_szInitDir,filespec);
bool CBrowseDir::BeginBrowse(const char *filespec)
ProcessDir(m_szInitDir,NULL);
return BrowseDir(m_szInitDir,filespec);
bool CBrowseDir::BrowseDir(const char *dir,const char *filespec)
_chdir(dir);
_finddata_
if ((hFile=_findfirst(filespec,&fileinfo)) != -1)
if (!(fileinfo.attrib & _A_SUBDIR))
char filename[_MAX_PATH];
strcpy(filename,dir);
strcat(filename,fileinfo.name);
cout && filename &&
if (!ProcessFile(filename))
} while (_findnext(hFile,&fileinfo) == 0);
_findclose(hFile);
_chdir(dir);
if ((hFile=_findfirst(&*.*&,&fileinfo)) != -1)
if ((fileinfo.attrib & _A_SUBDIR))
if (strcmp(fileinfo.name,&.&) != 0 && strcmp
(fileinfo.name,&..&) != 0)
char subdir[_MAX_PATH];
strcpy(subdir,dir);
strcat(subdir,fileinfo.name);
strcat(subdir,&\\&);
ProcessDir(subdir,dir);
if (!BrowseDir(subdir,filespec))
} while (_findnext(hFile,&fileinfo) == 0);
_findclose(hFile);
vector&char*& CBrowseDir::GetDirFilenames(const char *dir,const char *filespec)
_chdir(dir);
vector&char*&filename_
filename_vec.clear();
_finddata_
if ((hFile=_findfirst(filespec,&fileinfo)) != -1)
if (!(fileinfo.attrib & _A_SUBDIR))
char *filename = new char[_MAX_PATH];
strcpy(filename,dir);
//int st = 0; while (dir[st++]!='\0');
strcat(filename,fileinfo.name); //filename[st]='\0';
filename_vec.push_back(filename);
} while (_findnext(hFile,&fileinfo) == 0);
_findclose(hFile);
_chdir(dir);
if ((hFile=_findfirst(&*.*&,&fileinfo)) != -1)
if ((fileinfo.attrib & _A_SUBDIR))
if (strcmp(fileinfo.name,&.&) != 0 && strcmp
(fileinfo.name,&..&) != 0)
char subdir[_MAX_PATH];
strcpy(subdir,dir);
strcat(subdir,fileinfo.name);
strcat(subdir,&\\&);
ProcessDir(subdir,dir);
return GetDirFilenames(subdir,filespec);
} while (_findnext(hFile,&fileinfo) == 0);
_findclose(hFile);
return filename_
bool CBrowseDir::ProcessFile(const char *filename)
void CBrowseDir::ProcessDir(const char
*currentdir,const char *parentdir)
1.3 StatDir.h#pragma once
#include &browsedir.h&
class CStatDir:public CBrowseDir
protected:
int m_nFileC
//保存文件个数
int m_nSubdirC //保存子目录个数
CStatDir()
m_nFileCount=m_nSubdirCount=0;
int GetFileCount()
return m_nFileC
int GetSubdirCount()
return m_nSubdirCount-1;
protected:
virtual bool ProcessFile(const char *filename)
m_nFileCount++;
return CBrowseDir::ProcessFile(filename);
virtual void ProcessDir
(const char *currentdir,const char *parentdir)
m_nSubdirCount++;
CBrowseDir::ProcessDir(currentdir,parentdir);
2. 辅助函数Prehelper.h, Prehelper.cpp：负责返回文件夹内所有图片（read_img），检测人脸（detectAndDraw并可以在原图中画出），截图（CutImg），提取(DetectandExtract)2.1 Prehelper.h//preprocessing helper
//@ Author : Rachel-Zhang
#include &opencv2/core/core.hpp&
#include &opencv2/highgui/highgui.hpp&
#include &opencv2/contrib/contrib.hpp&
#include &cv.h&
#include &vector&
#include &utility&
void normalizeone(const char* dir,IplImage* standard);
void CutImg(IplImage* src, CvRect rect,IplImage* res);
vector&Rect& detectAndDraw( Mat& img, CascadeClassifier& cascade,
CascadeClassifier& nestedCascade,
double scale, bool tryflip,bool draw );
IplImage* DetectandExtract(Mat& img, CascadeClassifier& cascade,
CascadeClassifier& nestedCascade,
double scale, bool tryflip);
int read_img(const string& dir, vector&Mat& &images);
vector&pair&char*,Mat&&
read_img(const string& dir);
2.2 Prehelper.cpp#include &Prehelper.h&
#include &BrowseDir.h&
#include &StatDir.h&
#include &opencv2/core/core.hpp&
#include &opencv2/highgui/highgui.hpp&
#include &cv.h&
void normalizeone(const char* dir,IplImage* standard)
if (!statdir.SetInitDir(dir))
puts(&Dir not exist&);
vector&char*&file_vec = statdir.BeginBrowseFilenames(&*.*&);
for (i=0;i&file_vec.size();i++)
IplImage* cur_img = cvLoadImage(file_vec[i],CV_LOAD_IMAGE_GRAYSCALE);
//IplImage*cur_gray = cvCreateImage(cvGetSize(cur_img),cur_img-&depth,1);
cvResize(cur_img,standard,CV_INTER_AREA);
//cvCvtColor(standard,cur_gray,CV_RGB2GRAY);
cvNamedWindow(&cur_img&,CV_WINDOW_AUTOSIZE);
cvNamedWindow(&standard&,CV_WINDOW_AUTOSIZE);
cvShowImage(&cur_img&,cur_img);
cvShowImage(&standard&,standard);
cvWaitKey();
cvSaveImage(file_vec[i],cur_img);
void CutImg(IplImage* src, CvRect rect,IplImage* res)
imgsize.height = rect.
imgsize.width = rect.
cvSetImageROI(src,rect);
cvCopy(src,res);
cvResetImageROI(res);
int read_img(const string& dir, vector&Mat& &images)
if (!statdir.SetInitDir(dir.c_str()))
cout&&&Direct &&&dir&&&
not exist!&&&
int cls_id = dir[dir.length()-1]-'0';
vector&char*&file_vec = statdir.BeginBrowseFilenames(&*.*&);
int i,s = file_vec.size();
for (i=0;i&s;i++)
Mat graymat = imread(file_vec[i],0);
//graymat.reshape(1,1);//flatten to one row
images.push_back(graymat);
vector&pair&char*,Mat&&
read_img(const string& dir)
pair&char*,Mat&
vector&pair&char*,Mat&& Vp;
if (!statdir.SetInitDir(dir.c_str()))
cout&&&Direct &&&dir&&&
not exist!&&&
return Vp;
int cls_id = dir[dir.length()-1]-'0';
vector&char*&file_vec = statdir.BeginBrowseFilenames(&*.*&);
int i,s = file_vec.size();
for (i=0;i&s;i++)
pfi.first = file_vec[i];
pfi.second = imread(file_vec[i]);
Vp.push_back(pfi);
return Vp;
vector&Rect& detectAndDraw( Mat& img, CascadeClassifier& cascade,
CascadeClassifier& nestedCascade,
double scale, bool tryflip, bool draw )
int i = 0;
double t = 0;
vector&Rect& faces, faces2;
const static Scalar colors[] =
{ CV_RGB(0,0,255),
CV_RGB(0,128,255),
CV_RGB(0,255,255),
CV_RGB(0,255,0),
CV_RGB(255,128,0),
CV_RGB(255,255,0),
CV_RGB(255,0,0),
CV_RGB(255,0,255)} ;
Mat gray, smallImg( cvRound (img.rows/scale), cvRound(img.cols/scale), CV_8UC1 );
cvtColor( img, gray, CV_BGR2GRAY );
resize( gray, smallImg, smallImg.size(), 0, 0, INTER_LINEAR );
equalizeHist( smallImg, smallImg );
t = (double)cvGetTickCount();
cascade.detectMultiScale( smallImg, faces,
|CV_HAAR_FIND_BIGGEST_OBJECT
//|CV_HAAR_DO_ROUGH_SEARCH
//|CV_HAAR_SCALE_IMAGE
Size(30, 30) );
if( tryflip )
flip(smallImg, smallImg, 1);
cascade.detectMultiScale( smallImg, faces2,
|CV_HAAR_FIND_BIGGEST_OBJECT
//|CV_HAAR_DO_ROUGH_SEARCH
//|CV_HAAR_SCALE_IMAGE
Size(30, 30) );
for( vector&Rect&::const_iterator r = faces2.begin(); r != faces2.end(); r++ )
faces.push_back(Rect(smallImg.cols - r-&x - r-&width, r-&y, r-&width, r-&height));
t = (double)cvGetTickCount() -
printf( &detection time = %g ms\n&, t/((double)cvGetTickFrequency()*1000.) );
for( vector&Rect&::const_iterator r = faces.begin(); r != faces.end(); r++, i++ )
Mat smallImgROI;
vector&Rect& nestedO
Scalar color = colors[i%8];
double aspect_ratio = (double)r-&width/r-&
rectangle( img, cvPoint(cvRound(r-&x*scale), cvRound(r-&y*scale)),
cvPoint(cvRound((r-&x + r-&width-1)*scale), cvRound((r-&y + r-&height-1)*scale)),
color, 3, 8, 0);
if( nestedCascade.empty() )
smallImgROI = smallImg(*r);
nestedCascade.detectMultiScale( smallImgROI, nestedObjects,
|CV_HAAR_FIND_BIGGEST_OBJECT
//|CV_HAAR_DO_ROUGH_SEARCH
//|CV_HAAR_DO_CANNY_PRUNING
//|CV_HAAR_SCALE_IMAGE
Size(30, 30) );
//draw eyes
for( vector&Rect&::const_iterator nr = nestedObjects.begin(); nr != nestedObjects.end(); nr++ )
center.x = cvRound((r-&x + nr-&x + nr-&width*0.5)*scale);
center.y = cvRound((r-&y + nr-&y + nr-&height*0.5)*scale);
radius = cvRound((nr-&width + nr-&height)*0.25*scale);
circle( img, center, radius, color, 3, 8, 0 );
cv::imshow( &result&, img );
IplImage* DetectandExtract(Mat& img, CascadeClassifier& cascade,
CascadeClassifier& nestedCascade,
double scale, bool tryflip)
vector&Rect& Rvec = detectAndDraw(img,cascade,nestedCascade,scale,tryflip,0);
int i,maxxsize=0,id=-1,
for (i=0;i&Rvec.size();i++)
area = Rvec[i].width*Rvec[i].
if(maxxsize&area)
maxxsize =
IplImage* transimg = cvCloneImage(&(IplImage)img);
if(id!=-1)
imgsize.height = Rvec[id].
imgsize.width = Rvec[id].
IplImage* res = cvCreateImage(imgsize,transimg-&depth,transimg-&nChannels);
CutImg(transimg,Rvec[id],res);
return NULL;
}3. 主函数//Detect.cpp
//Preprocessing - Detect, Cut and Save
//@Author : Rachel-Zhang
#include &opencv2/objdetect/objdetect.hpp&
#include &opencv2/highgui/highgui.hpp&
#include &opencv2/imgproc/imgproc.hpp&
#include &cctype&
#include &iostream&
#include &iterator&
#include &stdio.h&
#include &BrowseDir.h&
#include &StatDir.h&
#include &Prehelper.h&
#define CAM 2
#define PHO 1
#define K 5
string cascadeName = &E:/software/opencv2.4.6.0/data/haarcascades/haarcascade_frontalface_alt.xml&;
string nestedCascadeName = &E:/software/opencv2.4.6.0/data/haarcascades/haarcascade_eye_tree_eyeglasses.xml&;
int main( )
CvCapture* capture = 0;
Mat frame, frameCopy,
string inputN
bool tryflip =
CascadeClassifier cascade, nestedC
double scale = 1.0;
if( !cascade.load( cascadeName ) ||!nestedCascade.load( nestedCascadeName))
cerr && &ERROR: Could not load classifier cascade or nestedCascade& &&//若出现该问题请去检查cascadeName，可能是opencv版本路径问题
return -1;
printf(&select the mode of detection: \n1: from picture\t 2: from camera\n&);
scanf(&%d&,&mode);
char** pics = (char**) malloc(sizeof*pics);
/************************************************************************/
detect face and save
/************************************************************************/
cout&&&detect and save...&&&
const char dir[256] = &D:\\Face_recognition\\pic\\&;
string cur_
char id[5];
for(i=1; i&=K; i++)
_itoa(i,id,10);
cur_dir.append(&color\\&);
cur_dir.append(id);
vector&pair&char*,Mat&& imgs=read_img(cur_dir);
for(j=0;j&imgs.size();j++)
IplImage* res = DetectandExtract(imgs[j].second,cascade,nestedCascade,scale,tryflip);
cvSaveImage(imgs[j].first,res);
正确的输出就是一系列人脸检测时间，且原文件夹内的图片变成了检测出的人脸（如上面结果图所示）。文章所用代码打包链接：关于Computer Vision更多的学习资料将继续更新，敬请关注本博客和新浪微博。
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Machine Learning（48）
Computer Vision（101）
C/C++（132）
本文实现基于eigenface的人脸检测与识别。给定一个图像数据库，进行以下步骤：进行人脸检测，将检测出的人脸存入数据库2对数据库2进行人脸建模在测试集上进行recognition本篇实现第一步：进行人脸检测，将检测出的人脸存入数据库2环境：vs2010+opencv 2.4.6.0特征：eigenfaceInput：一个人脸数据库，15个人，每人20个样本（左右）。Output：人脸检测，并识别出每张检测到的人脸。===============================本文完成第一步，数据预处理：自动检测所有文件夹中每个sample中的人脸，作为训练数据。Input：一个color文件夹，每个文件夹中有1~N这N个子文件夹，每个子文件夹内有n张包括第n类人的照片，如图。最终结果：核心：face detection（detectAndDraw）辅助：截图并保存部分图片(CutImg)，文件夹内图片遍历(read_img)，图片转换成相同大小（normalizeone）括号内分别是函数名，下面分别给出代码及说明。1. 遍历文件夹：CBrowseDir类和CStatDir类（具体见），三个文件如下：1.1 BrowseDir.h#pragma once
#include &direct.h&
#include &string.h&
#include &io.h&
#include &stdio.h&
#include &vector&
#include &iostream&
class CBrowseDir
protected:
char m_szInitDir[_MAX_PATH];
CBrowseDir();
bool SetInitDir(const char *dir);
bool BeginBrowse(const char *filespec);
vector&char*& BeginBrowseFilenames(const char *filespec);
protected:
bool BrowseDir(const char *dir,const char *filespec);
vector&char*& GetDirFilenames(const char *dir,const char *filespec);
virtual bool ProcessFile(const char *filename);
virtual void ProcessDir(const char *currentdir,const char *parentdir);
};1.2 BrowseDir.cpp#include &BrowseDir.h&
#include &direct.h&
#include &string.h&
#include &io.h&
#include &stdio.h&
#include &vector&
#include &iostream&
CBrowseDir::CBrowseDir()
getcwd(m_szInitDir,_MAX_PATH);
int len=strlen(m_szInitDir);
if (m_szInitDir[len-1] != '\\')
strcat(m_szInitDir,&\\&);
bool CBrowseDir::SetInitDir(const char *dir)
if (_fullpath(m_szInitDir,dir,_MAX_PATH) == NULL)
if (_chdir(m_szInitDir) != 0)
int len=strlen(m_szInitDir);
if (m_szInitDir[len-1] != '\\')
strcat(m_szInitDir,&\\&);
vector&char*&CBrowseDir:: BeginBrowseFilenames(const char *filespec)
ProcessDir(m_szInitDir,NULL);
return GetDirFilenames(m_szInitDir,filespec);
bool CBrowseDir::BeginBrowse(const char *filespec)
ProcessDir(m_szInitDir,NULL);
return BrowseDir(m_szInitDir,filespec);
bool CBrowseDir::BrowseDir(const char *dir,const char *filespec)
_chdir(dir);
_finddata_
if ((hFile=_findfirst(filespec,&fileinfo)) != -1)
if (!(fileinfo.attrib & _A_SUBDIR))
char filename[_MAX_PATH];
strcpy(filename,dir);
strcat(filename,fileinfo.name);
cout && filename &&
if (!ProcessFile(filename))
} while (_findnext(hFile,&fileinfo) == 0);
_findclose(hFile);
_chdir(dir);
if ((hFile=_findfirst(&*.*&,&fileinfo)) != -1)
if ((fileinfo.attrib & _A_SUBDIR))
if (strcmp(fileinfo.name,&.&) != 0 && strcmp
(fileinfo.name,&..&) != 0)
char subdir[_MAX_PATH];
strcpy(subdir,dir);
strcat(subdir,fileinfo.name);
strcat(subdir,&\\&);
ProcessDir(subdir,dir);
if (!BrowseDir(subdir,filespec))
} while (_findnext(hFile,&fileinfo) == 0);
_findclose(hFile);
vector&char*& CBrowseDir::GetDirFilenames(const char *dir,const char *filespec)
_chdir(dir);
vector&char*&filename_
filename_vec.clear();
_finddata_
if ((hFile=_findfirst(filespec,&fileinfo)) != -1)
if (!(fileinfo.attrib & _A_SUBDIR))
char *filename = new char[_MAX_PATH];
strcpy(filename,dir);
//int st = 0; while (dir[st++]!='\0');
strcat(filename,fileinfo.name); //filename[st]='\0';
filename_vec.push_back(filename);
} while (_findnext(hFile,&fileinfo) == 0);
_findclose(hFile);
_chdir(dir);
if ((hFile=_findfirst(&*.*&,&fileinfo)) != -1)
if ((fileinfo.attrib & _A_SUBDIR))
if (strcmp(fileinfo.name,&.&) != 0 && strcmp
(fileinfo.name,&..&) != 0)
char subdir[_MAX_PATH];
strcpy(subdir,dir);
strcat(subdir,fileinfo.name);
strcat(subdir,&\\&);
ProcessDir(subdir,dir);
return GetDirFilenames(subdir,filespec);
} while (_findnext(hFile,&fileinfo) == 0);
_findclose(hFile);
return filename_
bool CBrowseDir::ProcessFile(const char *filename)
void CBrowseDir::ProcessDir(const char
*currentdir,const char *parentdir)
1.3 StatDir.h#pragma once
#include &browsedir.h&
class CStatDir:public CBrowseDir
protected:
int m_nFileC
//保存文件个数
int m_nSubdirC //保存子目录个数
CStatDir()
m_nFileCount=m_nSubdirCount=0;
int GetFileCount()
return m_nFileC
int GetSubdirCount()
return m_nSubdirCount-1;
protected:
virtual bool ProcessFile(const char *filename)
m_nFileCount++;
return CBrowseDir::ProcessFile(filename);
virtual void ProcessDir
(const char *currentdir,const char *parentdir)
m_nSubdirCount++;
CBrowseDir::ProcessDir(currentdir,parentdir);
2. 辅助函数Prehelper.h, Prehelper.cpp：负责返回文件夹内所有图片（read_img），检测人脸（detectAndDraw并可以在原图中画出），截图（CutImg），提取(DetectandExtract)2.1 Prehelper.h//preprocessing helper
//@ Author : Rachel-Zhang
#include &opencv2/core/core.hpp&
#include &opencv2/highgui/highgui.hpp&
#include &opencv2/contrib/contrib.hpp&
#include &cv.h&
#include &vector&
#include &utility&
void normalizeone(const char* dir,IplImage* standard);
void CutImg(IplImage* src, CvRect rect,IplImage* res);
vector&Rect& detectAndDraw( Mat& img, CascadeClassifier& cascade,
CascadeClassifier& nestedCascade,
double scale, bool tryflip,bool draw );
IplImage* DetectandExtract(Mat& img, CascadeClassifier& cascade,
CascadeClassifier& nestedCascade,
double scale, bool tryflip);
int read_img(const string& dir, vector&Mat& &images);
vector&pair&char*,Mat&&
read_img(const string& dir);
2.2 Prehelper.cpp#include &Prehelper.h&
#include &BrowseDir.h&
#include &StatDir.h&
#include &opencv2/core/core.hpp&
#include &opencv2/highgui/highgui.hpp&
#include &cv.h&
void normalizeone(const char* dir,IplImage* standard)
if (!statdir.SetInitDir(dir))
puts(&Dir not exist&);
vector&char*&file_vec = statdir.BeginBrowseFilenames(&*.*&);
for (i=0;i&file_vec.size();i++)
IplImage* cur_img = cvLoadImage(file_vec[i],CV_LOAD_IMAGE_GRAYSCALE);
//IplImage*cur_gray = cvCreateImage(cvGetSize(cur_img),cur_img-&depth,1);
cvResize(cur_img,standard,CV_INTER_AREA);
//cvCvtColor(standard,cur_gray,CV_RGB2GRAY);
cvNamedWindow(&cur_img&,CV_WINDOW_AUTOSIZE);
cvNamedWindow(&standard&,CV_WINDOW_AUTOSIZE);
cvShowImage(&cur_img&,cur_img);
cvShowImage(&standard&,standard);
cvWaitKey();
cvSaveImage(file_vec[i],cur_img);
void CutImg(IplImage* src, CvRect rect,IplImage* res)
imgsize.height = rect.
imgsize.width = rect.
cvSetImageROI(src,rect);
cvCopy(src,res);
cvResetImageROI(res);
int read_img(const string& dir, vector&Mat& &images)
if (!statdir.SetInitDir(dir.c_str()))
cout&&&Direct &&&dir&&&
not exist!&&&
int cls_id = dir[dir.length()-1]-'0';
vector&char*&file_vec = statdir.BeginBrowseFilenames(&*.*&);
int i,s = file_vec.size();
for (i=0;i&s;i++)
Mat graymat = imread(file_vec[i],0);
//graymat.reshape(1,1);//flatten to one row
images.push_back(graymat);
vector&pair&char*,Mat&&
read_img(const string& dir)
pair&char*,Mat&
vector&pair&char*,Mat&& Vp;
if (!statdir.SetInitDir(dir.c_str()))
cout&&&Direct &&&dir&&&
not exist!&&&
return Vp;
int cls_id = dir[dir.length()-1]-'0';
vector&char*&file_vec = statdir.BeginBrowseFilenames(&*.*&);
int i,s = file_vec.size();
for (i=0;i&s;i++)
pfi.first = file_vec[i];
pfi.second = imread(file_vec[i]);
Vp.push_back(pfi);
return Vp;
vector&Rect& detectAndDraw( Mat& img, CascadeClassifier& cascade,
CascadeClassifier& nestedCascade,
double scale, bool tryflip, bool draw )
int i = 0;
double t = 0;
vector&Rect& faces, faces2;
const static Scalar colors[] =
{ CV_RGB(0,0,255),
CV_RGB(0,128,255),
CV_RGB(0,255,255),
CV_RGB(0,255,0),
CV_RGB(255,128,0),
CV_RGB(255,255,0),
CV_RGB(255,0,0),
CV_RGB(255,0,255)} ;
Mat gray, smallImg( cvRound (img.rows/scale), cvRound(img.cols/scale), CV_8UC1 );
cvtColor( img, gray, CV_BGR2GRAY );
resize( gray, smallImg, smallImg.size(), 0, 0, INTER_LINEAR );
equalizeHist( smallImg, smallImg );
t = (double)cvGetTickCount();
cascade.detectMultiScale( smallImg, faces,
|CV_HAAR_FIND_BIGGEST_OBJECT
//|CV_HAAR_DO_ROUGH_SEARCH
//|CV_HAAR_SCALE_IMAGE
Size(30, 30) );
if( tryflip )
flip(smallImg, smallImg, 1);
cascade.detectMultiScale( smallImg, faces2,
|CV_HAAR_FIND_BIGGEST_OBJECT
//|CV_HAAR_DO_ROUGH_SEARCH
//|CV_HAAR_SCALE_IMAGE
Size(30, 30) );
for( vector&Rect&::const_iterator r = faces2.begin(); r != faces2.end(); r++ )
faces.push_back(Rect(smallImg.cols - r-&x - r-&width, r-&y, r-&width, r-&height));
t = (double)cvGetTickCount() -
printf( &detection time = %g ms\n&, t/((double)cvGetTickFrequency()*1000.) );
for( vector&Rect&::const_iterator r = faces.begin(); r != faces.end(); r++, i++ )
Mat smallImgROI;
vector&Rect& nestedO
Scalar color = colors[i%8];
double aspect_ratio = (double)r-&width/r-&
rectangle( img, cvPoint(cvRound(r-&x*scale), cvRound(r-&y*scale)),
cvPoint(cvRound((r-&x + r-&width-1)*scale), cvRound((r-&y + r-&height-1)*scale)),
color, 3, 8, 0);
if( nestedCascade.empty() )
smallImgROI = smallImg(*r);
nestedCascade.detectMultiScale( smallImgROI, nestedObjects,
|CV_HAAR_FIND_BIGGEST_OBJECT
//|CV_HAAR_DO_ROUGH_SEARCH
//|CV_HAAR_DO_CANNY_PRUNING
//|CV_HAAR_SCALE_IMAGE
Size(30, 30) );
//draw eyes
for( vector&Rect&::const_iterator nr = nestedObjects.begin(); nr != nestedObjects.end(); nr++ )
center.x = cvRound((r-&x + nr-&x + nr-&width*0.5)*scale);
center.y = cvRound((r-&y + nr-&y + nr-&height*0.5)*scale);
radius = cvRound((nr-&width + nr-&height)*0.25*scale);
circle( img, center, radius, color, 3, 8, 0 );
cv::imshow( &result&, img );
IplImage* DetectandExtract(Mat& img, CascadeClassifier& cascade,
CascadeClassifier& nestedCascade,
double scale, bool tryflip)
vector&Rect& Rvec = detectAndDraw(img,cascade,nestedCascade,scale,tryflip,0);
int i,maxxsize=0,id=-1,
for (i=0;i&Rvec.size();i++)
area = Rvec[i].width*Rvec[i].
if(maxxsize&area)
maxxsize =
IplImage* transimg = cvCloneImage(&(IplImage)img);
if(id!=-1)
imgsize.height = Rvec[id].
imgsize.width = Rvec[id].
IplImage* res = cvCreateImage(imgsize,transimg-&depth,transimg-&nChannels);
CutImg(transimg,Rvec[id],res);
return NULL;
}3. 主函数//Detect.cpp
//Preprocessing - Detect, Cut and Save
//@Author : Rachel-Zhang
#include &opencv2/objdetect/objdetect.hpp&
#include &opencv2/highgui/highgui.hpp&
#include &opencv2/imgproc/imgproc.hpp&
#include &cctype&
#include &iostream&
#include &iterator&
#include &stdio.h&
#include &BrowseDir.h&
#include &StatDir.h&
#include &Prehelper.h&
#define CAM 2
#define PHO 1
#define K 5
string cascadeName = &E:/software/opencv2.4.6.0/data/haarcascades/haarcascade_frontalface_alt.xml&;
string nestedCascadeName = &E:/software/opencv2.4.6.0/data/haarcascades/haarcascade_eye_tree_eyeglasses.xml&;
int main( )
CvCapture* capture = 0;
Mat frame, frameCopy,
string inputN
bool tryflip =
CascadeClassifier cascade, nestedC
double scale = 1.0;
if( !cascade.load( cascadeName ) ||!nestedCascade.load( nestedCascadeName))
cerr && &ERROR: Could not load classifier cascade or nestedCascade& &&//若出现该问题请去检查cascadeName，可能是opencv版本路径问题
return -1;
printf(&select the mode of detection: \n1: from picture\t 2: from camera\n&);
scanf(&%d&,&mode);
char** pics = (char**) malloc(sizeof*pics);
/************************************************************************/
detect face and save
/************************************************************************/
cout&&&detect and save...&&&
const char dir[256] = &D:\\Face_recognition\\pic\\&;
string cur_
char id[5];
for(i=1; i&=K; i++)
_itoa(i,id,10);
cur_dir.append(&color\\&);
cur_dir.append(id);
vector&pair&char*,Mat&& imgs=read_img(cur_dir);
for(j=0;j&imgs.size();j++)
IplImage* res = DetectandExtract(imgs[j].second,cascade,nestedCascade,scale,tryflip);
cvSaveImage(imgs[j].first,res);
正确的输出就是一系列人脸检测时间，且原文件夹内的图片变成了检测出的人脸（如上面结果图所示）。文章所用代码打包链接：关于Computer Vision更多的学习资料将继续更新，敬请关注本博客和新浪微博。
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