opencv/modules/legacy/src/facedetection.cpp

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/*M///////////////////////////////////////////////////////////////////////////////////////
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///////////////////////////////////////////////
//// Created by Khudyakov V.A. bober@gorodok.net
//////////////////////////////////////////////
// FaceDetection.cpp: implementation of the FaceDetection class.
//
//////////////////////////////////////////////////////////////////////
#include "precomp.hpp"
#include "_facedetection.h"
int CV_CDECL CompareContourRect(const void* el1, const void* el2, void* userdata);
//////////////////////////////////////////////////////////////////////
// Construction/Destruction
//////////////////////////////////////////////////////////////////////
FaceDetection::FaceDetection()
{
m_imgGray = NULL;
m_imgThresh = NULL;
m_mstgContours = NULL;
memset(m_seqContours, 0, sizeof(CvSeq*) * MAX_LAYERS);
m_mstgRects = NULL;
m_seqRects = NULL;
m_iNumLayers = 16;
assert(m_iNumLayers <= MAX_LAYERS);
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m_pFaceList = new FaceDetectionList();
m_bBoosting = false;
}// FaceDetection()
FaceDetection::~FaceDetection()
{
if (m_imgGray)
cvReleaseImage(&m_imgGray);
if (m_imgThresh)
cvReleaseImage(&m_imgThresh);
if (m_mstgContours)
cvReleaseMemStorage(&m_mstgContours);
if (m_mstgRects)
cvReleaseMemStorage(&m_mstgRects);
}// ~FaceDetection()
void FaceDetection::FindContours(IplImage* imgGray)
{
ReallocImage(&m_imgThresh, cvGetSize(imgGray), 1);
if (NULL == m_imgThresh)
return;
//
int iNumLayers = m_iNumLayers;
int iMinLevel = 0, iMaxLevel = 255, iStep = 255 / iNumLayers;
ThresholdingParam(imgGray, iNumLayers, iMinLevel, iMaxLevel, iStep);
// init
cvReleaseMemStorage(&m_mstgContours);
m_mstgContours = cvCreateMemStorage();
if (NULL == m_mstgContours)
return;
memset(m_seqContours, 0, sizeof(CvSeq*) * MAX_LAYERS);
cvReleaseMemStorage(&m_mstgRects);
m_mstgRects = cvCreateMemStorage();
if (NULL == m_mstgRects)
return;
m_seqRects = cvCreateSeq(0, sizeof(CvSeq), sizeof(CvContourRect), m_mstgRects);
if (NULL == m_seqRects)
return;
// find contours
for (int l = iMinLevel, i = 0; l < iMaxLevel; l += iStep, i++)
{
cvThreshold(imgGray, m_imgThresh, (double)l, (double)255, CV_THRESH_BINARY);
if (cvFindContours(m_imgThresh, m_mstgContours, &m_seqContours[i], sizeof(CvContour), CV_RETR_CCOMP, CV_CHAIN_APPROX_SIMPLE))
AddContours2Rect(m_seqContours[i], l, i);
}
// sort rects
cvSeqSort(m_seqRects, CompareContourRect, NULL);
}// void FaceDetection::FindContours(IplImage* imgGray)
#define GIST_STEP 10
#define GIST_NUM (256 / GIST_STEP)
#define GIST_MIN 32
void FaceDetection::ThresholdingParam(IplImage *imgGray, int iNumLayers, int &iMinLevel, int &iMaxLevel, int &iStep)
{
assert(imgGray != NULL);
assert(imgGray->nChannels == 1);
int i, j;
// create gistogramm
uchar* buffImg = (uchar*)imgGray->imageData;
int gistImg[GIST_NUM + 1] = {0};
for (j = 0; j < imgGray->height; j ++)
{
for (i = 0; i < imgGray->width; i ++)
{
int ind = buffImg[i] / GIST_STEP;
gistImg[ind] ++;
}
buffImg += imgGray->widthStep;
}
// params
for (i = 0; i <= GIST_NUM; i ++)
{
if (gistImg[i] >= GIST_MIN)
break;
}
iMinLevel = i * GIST_STEP;
for (i = GIST_NUM; i >= 0; i --)
{
if (gistImg[i] >= GIST_MIN)
break;
}
iMaxLevel = i * GIST_STEP;
int dLevels = iMaxLevel - iMinLevel;
if (dLevels <= 0)
{
iMinLevel = 0;
iMaxLevel = 255;
}
else if (dLevels <= iNumLayers)
{
iMinLevel = iMaxLevel - iNumLayers;
if (iMinLevel < 0)
{
iMinLevel = 0;
iMaxLevel = iNumLayers;
}
}
iStep = (iMaxLevel - iMinLevel) / iNumLayers;
}// void FaceDetection::ThresholdingParam(IplImage *imgGray, int iNumLayers, int &iMinLevel, int &iMaxLevel, int &iStep)
#ifndef MAX_ERROR
#define MAX_ERROR 0xFFFFFFFF
#endif //MAX_ERROR
void FaceDetection::CreateResults(CvSeq * lpSeq)
{
Face * tmp;
double Max = 0;
double CurStat = 0;
FaceData tmpData;
if (m_bBoosting)
{
tmp = m_pFaceList->GetData();
tmp->CreateFace(&tmpData);
CvFace tmpFace;
tmpFace.MouthRect = tmpData.MouthRect;
tmpFace.LeftEyeRect = tmpData.LeftEyeRect;
tmpFace.RightEyeRect = tmpData.RightEyeRect;
cvSeqPush(lpSeq,&tmpFace);
}else
{
while ( (tmp = m_pFaceList->GetData()) != 0 )
{
CurStat = tmp->GetWeight();
if (CurStat > Max)
Max = CurStat;
}
while ( (tmp = m_pFaceList->GetData()) != 0 )
{
tmp->CreateFace(&tmpData);
CurStat = tmp->GetWeight();
if (CurStat == Max)
{
CvFace tmpFace;
tmpFace.MouthRect = tmpData.MouthRect;
tmpFace.LeftEyeRect = tmpData.LeftEyeRect;
tmpFace.RightEyeRect = tmpData.RightEyeRect;
cvSeqPush(lpSeq,&tmpFace);
}
}
}
}// void FaceDetection::DrawResult(IplImage* img)
void FaceDetection::ResetImage()
{
delete m_pFaceList;
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m_pFaceList = new FaceDetectionList();
}//FaceDetection::ResetImage
void FaceDetection::AddContours2Rect(CvSeq *seq, int color, int iLayer)
{
assert(m_mstgRects != NULL);
assert(m_seqRects != NULL);
CvContourRect cr;
for (CvSeq* external = seq; external; external = external->h_next)
{
cr.r = cvContourBoundingRect(external, 1 );
cr.pCenter.x = cr.r.x + cr.r.width / 2;
cr.pCenter.y = cr.r.y + cr.r.height / 2;
cr.iNumber = iLayer;
cr.iType = 6;
cr.iFlags = 0;
cr.seqContour = external;
cr.iContourLength = external->total;
cr.iColor = color;
cvSeqPush(m_seqRects, &cr);
for (CvSeq* internal = external->v_next; internal; internal = internal->h_next)
{
cr.r = cvContourBoundingRect(internal, 0);
cr.pCenter.x = cr.r.x + cr.r.width / 2;
cr.pCenter.y = cr.r.y + cr.r.height / 2;
cr.iNumber = iLayer;
cr.iType = 12;
cr.iFlags = 0;
cr.seqContour = internal;
cr.iContourLength = internal->total;
cr.iColor = color;
cvSeqPush(m_seqRects, &cr);
}
}
}// void FaceDetection::AddContours2Rect(CvSeq *seq, int color, int iLayer)
int CV_CDECL CompareContourRect(const void* el1, const void* el2, void* /*userdata*/)
{
return (((CvContourRect*)el1)->pCenter.y - ((CvContourRect*)el2)->pCenter.y);
}// int CV_CDECL CompareContourRect(const void* el1, const void* el2, void* userdata)
void FaceDetection::FindFace(IplImage *img)
{
// find all contours
FindContours(img);
//
ResetImage();
if (m_bBoosting)
PostBoostingFindCandidats(img);
else
FindCandidats();
}// void FaceDetection::FindFace(IplImage *img)
void FaceDetection::FindCandidats()
{
bool bFound1 = false;
MouthFaceTemplate * lpFaceTemplate1 = 0;
RFace * lpFace1 = 0;
bool bInvalidRect1 = false;
CvRect * lpRect1 = NULL;
try
{
for (int i = 0; i < m_seqRects->total; i++)
{
CvContourRect* pRect = (CvContourRect*)cvGetSeqElem(m_seqRects, i);
CvRect rect = pRect->r;
if (rect.width >= 2*rect.height)
{
lpFaceTemplate1 = new MouthFaceTemplate(3,rect,3*(double)rect.width/(double)4,
3*(double)rect.width/(double)4,
(double)rect.width/(double)2,
(double)rect.width/(double)2);
lpFace1 = new RFace(lpFaceTemplate1);
for (int j = 0; j < m_seqRects->total; j++)
{
CvContourRect* pRect = (CvContourRect*)cvGetSeqElem(m_seqRects, j);
if ( !bInvalidRect1 )
{
lpRect1 = NULL;
lpRect1 = new CvRect();
*lpRect1 = pRect->r;
}else
{
delete lpRect1;
lpRect1 = new CvRect();
*lpRect1 = pRect->r;
}
if ( lpFace1->isFeature(lpRect1) )
{
bFound1 = true;
bInvalidRect1 = false;
}else
bInvalidRect1 = true;
}
if (bFound1)
{
m_pFaceList->AddElem(lpFace1);
bFound1 = false;
lpFace1 = NULL;
}else
{
delete lpFace1;
lpFace1 = NULL;
}
delete lpFaceTemplate1;
}
}
}
catch(...)
{
delete lpFaceTemplate1;
delete lpFace1;
throw;
}
}
void FaceDetection::PostBoostingFindCandidats(IplImage * FaceImage)
{
BoostingFaceTemplate * lpFaceTemplate1 = 0;
RFace * lpFace1 = 0;
bool bInvalidRect1 = false;
CvRect * lpRect1 = NULL;
try
{
if ( ( !FaceImage->roi ) )
lpFaceTemplate1 = new BoostingFaceTemplate(3,cvRect(0,0,FaceImage->width,FaceImage->height));
else
lpFaceTemplate1 = new BoostingFaceTemplate(3,cvRect(FaceImage->roi->xOffset,FaceImage->roi->yOffset,
FaceImage->roi->width,FaceImage->roi->height));
lpFace1 = new RFace(lpFaceTemplate1);
for (int i = 0; i < m_seqRects->total; i++)
{
CvContourRect* pRect = (CvContourRect*)cvGetSeqElem(m_seqRects, i);
if ( !bInvalidRect1 )
{
lpRect1 = NULL;
lpRect1 = new CvRect();
*lpRect1 = pRect->r;
}else
{
delete lpRect1;
lpRect1 = new CvRect();
*lpRect1 = pRect->r;
}
if ( lpFace1->isFeature(lpRect1) )
{
//bFound1 = true;
bInvalidRect1 = false;
}else
bInvalidRect1 = true;
}
m_pFaceList->AddElem(lpFace1);
lpFace1 = NULL;
delete lpFaceTemplate1;
}
catch(...)
{
delete lpFace1;
delete lpFaceTemplate1;
throw;
}
}//void FaceDetection::PostBoostingFindCandidats(IplImage * FaceImage)
/////////////////////////
//class Face
//////
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//FaceDetectionList Class
/////
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FaceDetectionListElem::FaceDetectionListElem()
{
m_pNext = this;
m_pPrev = this;
m_pFace = NULL;
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}///FaceDetectionListElem::FaceDetectionListElem()
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FaceDetectionListElem::FaceDetectionListElem(Face * pFace,FaceDetectionListElem * pHead)
{
m_pNext = pHead;
m_pPrev = pHead->m_pPrev;
pHead->m_pPrev->m_pNext = this;
pHead->m_pPrev = this;
m_pFace = pFace;
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}//FaceDetectionListElem::FaceDetectionListElem(Face * pFace)
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FaceDetectionListElem::~FaceDetectionListElem()
{
delete m_pFace;
m_pNext->m_pPrev = m_pPrev;
m_pPrev->m_pNext = m_pNext;
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}//FaceDetectionListElem::~FaceDetectionListElem()
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FaceDetectionList::FaceDetectionList()
{
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m_pHead = new FaceDetectionListElem();
m_FacesCount = 0;
m_pCurElem = m_pHead;
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}//FaceDetectionList::FaceDetectionList()
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FaceDetectionList::~FaceDetectionList()
{
void * tmp;
while((tmp = m_pHead->m_pNext->m_pFace) != 0)
delete m_pHead->m_pNext;
delete m_pHead;
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}//FaceDetectionList::~FaceDetectionList()
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int FaceDetectionList::AddElem(Face * pFace)
{
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new FaceDetectionListElem(pFace,m_pHead);
return m_FacesCount++;
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}//FaceDetectionList::AddElem(Face * pFace)
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Face * FaceDetectionList::GetData()
{
m_pCurElem = m_pCurElem->m_pNext;
return m_pCurElem->m_pFace;
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}//Face * FaceDetectionList::GetData()