--- /dev/null
+/*M///////////////////////////////////////////////////////////////////////////////////////
+//
+// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
+//
+// By downloading, copying, installing or using the software you agree to this license.
+// If you do not agree to this license, do not download, install,
+// copy or use the software.
+//
+//
+// Intel License Agreement
+// For Open Source Computer Vision Library
+//
+// Copyright (C) 2000, Intel Corporation, all rights reserved.
+// Third party copyrights are property of their respective owners.
+//
+// Redistribution and use in source and binary forms, with or without modification,
+// are permitted provided that the following conditions are met:
+//
+// * Redistribution's of source code must retain the above copyright notice,
+// this list of conditions and the following disclaimer.
+//
+// * Redistribution's in binary form must reproduce the above copyright notice,
+// this list of conditions and the following disclaimer in the documentation
+// and/or other materials provided with the distribution.
+//
+// * The name of Intel Corporation may not be used to endorse or promote products
+// derived from this software without specific prior written permission.
+//
+// This software is provided by the copyright holders and contributors "as is" and
+// any express or implied warranties, including, but not limited to, the implied
+// warranties of merchantability and fitness for a particular purpose are disclaimed.
+// In no event shall the Intel Corporation or contributors be liable for any direct,
+// indirect, incidental, special, exemplary, or consequential damages
+// (including, but not limited to, procurement of substitute goods or services;
+// loss of use, data, or profits; or business interruption) however caused
+// and on any theory of liability, whether in contract, strict liability,
+// or tort (including negligence or otherwise) arising in any way out of
+// the use of this software, even if advised of the possibility of such damage.
+//
+//M*/
+
+/****************************************************************************************\
+ Contour-based face feature tracking
+ The code was created by Tatiana Cherepanova (tata@sl.iae.nsk.su)
+\****************************************************************************************/
+
+#include "_cvaux.h"
+#include "_cvvectrack.h"
+
+#define _ASSERT assert
+#define NUM_FACE_ELEMENTS 3
+enum
+{
+ MOUTH = 0,
+ LEYE = 1,
+ REYE = 2,
+};
+
+#define MAX_LAYERS 64
+
+const double pi = 3.1415926535;
+
+struct CvFaceTracker;
+struct CvTrackingRect;
+class CvFaceElement;
+
+void ThresholdingParam(IplImage *imgGray, int iNumLayers, int &iMinLevel, int &iMaxLevel, float &step, float& power, int iHistMin /*= HIST_MIN*/);
+int ChoiceTrackingFace3(CvFaceTracker* pTF, const int nElements, const CvFaceElement* big_face, CvTrackingRect* face, int& new_energy);
+int ChoiceTrackingFace2(CvFaceTracker* pTF, const int nElements, const CvFaceElement* big_face, CvTrackingRect* face, int& new_energy, int noel);
+inline int GetEnergy(CvTrackingRect** ppNew, const CvTrackingRect* pPrev, CvPoint* ptTempl, CvRect* rTempl);
+inline int GetEnergy2(CvTrackingRect** ppNew, const CvTrackingRect* pPrev, CvPoint* ptTempl, CvRect* rTempl, int* element);
+inline double CalculateTransformationLMS3_0( CvPoint* pTemplPoints, CvPoint* pSrcPoints);
+inline double CalculateTransformationLMS3( CvPoint* pTemplPoints,
+ CvPoint* pSrcPoints,
+ double* pdbAverageScale,
+ double* pdbAverageRotate,
+ double* pdbAverageShiftX,
+ double* pdbAverageShiftY );
+
+struct CvTrackingRect
+{
+ CvRect r;
+ CvPoint ptCenter;
+ int iColor;
+ int iEnergy;
+ int nRectsInThis;
+ int nRectsOnLeft;
+ int nRectsOnRight;
+ int nRectsOnTop;
+ int nRectsOnBottom;
+ CvTrackingRect() { memset(this, 0, sizeof(CvTrackingRect)); };
+ int Energy(const CvTrackingRect& prev)
+ {
+ int prev_color = 0 == prev.iColor ? iColor : prev.iColor;
+ iEnergy = 1 * pow2(r.width - prev.r.width) +
+ 1 * pow2(r.height - prev.r.height) +
+ 1 * pow2(iColor - prev_color) / 4 +
+ - 1 * nRectsInThis +
+ - 0 * nRectsOnTop +
+ + 0 * nRectsOnLeft +
+ + 0 * nRectsOnRight +
+ + 0 * nRectsOnBottom;
+ return iEnergy;
+ }
+};
+
+struct CvFaceTracker
+{
+ CvTrackingRect face[NUM_FACE_ELEMENTS];
+ int iTrackingFaceType;
+ double dbRotateDelta;
+ double dbRotateAngle;
+ CvPoint ptRotate;
+
+ CvPoint ptTempl[NUM_FACE_ELEMENTS];
+ CvRect rTempl[NUM_FACE_ELEMENTS];
+
+ IplImage* imgGray;
+ IplImage* imgThresh;
+ CvMemStorage* mstgContours;
+ CvFaceTracker()
+ {
+ ptRotate.x = 0;
+ ptRotate.y = 0;
+ dbRotateDelta = 0;
+ dbRotateAngle = 0;
+ iTrackingFaceType = -1;
+ imgThresh = NULL;
+ imgGray = NULL;
+ mstgContours = NULL;
+ };
+ ~CvFaceTracker()
+ {
+ if (NULL != imgGray)
+ delete imgGray;
+ if (NULL != imgThresh)
+ delete imgThresh;
+ if (NULL != mstgContours)
+ cvReleaseMemStorage(&mstgContours);
+ };
+ int Init(CvRect* pRects, IplImage* imgGray)
+ {
+ for (int i = 0; i < NUM_FACE_ELEMENTS; i++)
+ {
+ face[i].r = pRects[i];
+ face[i].ptCenter = Center(face[i].r);
+ ptTempl[i] = face[i].ptCenter;
+ rTempl[i] = face[i].r;
+ }
+ imgGray = cvCreateImage(cvSize(imgGray->width, imgGray->height), 8, 1);
+ imgThresh = cvCreateImage(cvSize(imgGray->width, imgGray->height), 8, 1);
+ mstgContours = cvCreateMemStorage();
+ if ((NULL == imgGray) ||
+ (NULL == imgThresh) ||
+ (NULL == mstgContours))
+ return FALSE;
+ return TRUE;
+ };
+ int InitNextImage(IplImage* img)
+ {
+ CvSize sz = {img->width, img->height};
+ ReallocImage(&imgGray, sz, 1);
+ ReallocImage(&imgThresh, sz, 1);
+ ptRotate = face[MOUTH].ptCenter;
+ float m[6];
+ CvMat mat = cvMat( 2, 3, CV_32FC1, m );
+
+ if (NULL == imgGray || NULL == imgThresh)
+ return FALSE;
+
+ /*m[0] = (float)cos(-dbRotateAngle*CV_PI/180.);
+ m[1] = (float)sin(-dbRotateAngle*CV_PI/180.);
+ m[2] = (float)ptRotate.x;
+ m[3] = -m[1];
+ m[4] = m[0];
+ m[5] = (float)ptRotate.y;*/
+ cv2DRotationMatrix( cvPointTo32f(ptRotate), -dbRotateAngle, 1., &mat );
+ cvWarpAffine( img, imgGray, &mat );
+
+ if (NULL == mstgContours)
+ mstgContours = cvCreateMemStorage();
+ else
+ cvClearMemStorage(mstgContours);
+ if (NULL == mstgContours)
+ return FALSE;
+ return TRUE;
+ }
+};
+
+class CvFaceElement
+{
+public:
+ CvSeq* m_seqRects;
+ CvMemStorage* m_mstgRects;
+ CvRect m_rROI;
+ CvTrackingRect m_trPrev;
+ inline CvFaceElement()
+ {
+ m_seqRects = NULL;
+ m_mstgRects = NULL;
+ m_rROI.x = 0;
+ m_rROI.y = 0;
+ m_rROI.width = 0;
+ m_rROI.height = 0;
+ };
+ inline int Init(const CvRect& roi, const CvTrackingRect& prev, CvMemStorage* mstg = NULL)
+ {
+ m_rROI = roi;
+ m_trPrev = prev;
+ if (NULL != mstg)
+ m_mstgRects = mstg;
+ if (NULL == m_mstgRects)
+ return FALSE;
+ if (NULL == m_seqRects)
+ m_seqRects = cvCreateSeq(0, sizeof(CvSeq), sizeof(CvTrackingRect), m_mstgRects);
+ else
+ cvClearSeq(m_seqRects);
+ if (NULL == m_seqRects)
+ return FALSE;
+ return TRUE;
+ };
+ void FindRects(IplImage* img, IplImage* thresh, int nLayers, int dMinSize);
+protected:
+ void FindContours(IplImage* img, IplImage* thresh, int nLayers, int dMinSize);
+ void MergeRects(int d);
+ void Energy();
+}; //class CvFaceElement
+
+int CV_CDECL CompareEnergy(const void* el1, const void* el2, void*)
+{
+ return ((CvTrackingRect*)el1)->iEnergy - ((CvTrackingRect*)el2)->iEnergy;
+}// int CV_CDECL CompareEnergy(const void* el1, const void* el2, void*)
+
+void CvFaceElement::FindRects(IplImage* img, IplImage* thresh, int nLayers, int dMinSize)
+{
+ FindContours(img, thresh, nLayers, dMinSize / 4);
+ if (0 == m_seqRects->total)
+ return;
+ Energy();
+ cvSeqSort(m_seqRects, CompareEnergy, NULL);
+ CvTrackingRect* pR = (CvTrackingRect*)cvGetSeqElem(m_seqRects, 0);
+ if (m_seqRects->total < 32)
+ {
+ MergeRects(dMinSize / 8);
+ Energy();
+ cvSeqSort(m_seqRects, CompareEnergy, NULL);
+ }
+ pR = (CvTrackingRect*)cvGetSeqElem(m_seqRects, 0);
+ if ((pR->iEnergy > 100 && m_seqRects->total < 32) || (m_seqRects->total < 16))
+ {
+ MergeRects(dMinSize / 4);
+ Energy();
+ cvSeqSort(m_seqRects, CompareEnergy, NULL);
+ }
+ pR = (CvTrackingRect*)cvGetSeqElem(m_seqRects, 0);
+ if ((pR->iEnergy > 100 && m_seqRects->total < 16) || (pR->iEnergy > 200 && m_seqRects->total < 32))
+ {
+ MergeRects(dMinSize / 2);
+ Energy();
+ cvSeqSort(m_seqRects, CompareEnergy, NULL);
+ }
+
+}// void CvFaceElement::FindRects(IplImage* img, IplImage* thresh, int nLayers, int dMinSize)
+
+void CvFaceElement::FindContours(IplImage* img, IplImage* thresh, int nLayers, int dMinSize)
+{
+ CvSeq* seq;
+ CvRect roi = m_rROI;
+ Extend(roi, 1);
+ cvSetImageROI(img, roi);
+ cvSetImageROI(thresh, roi);
+ // layers
+ int colors[MAX_LAYERS] = {0};
+ int iMinLevel = 0, iMaxLevel = 255;
+ float step, power;
+ ThresholdingParam(img, nLayers / 2, iMinLevel, iMaxLevel, step, power, 4);
+ int iMinLevelPrev = iMinLevel;
+ int iMaxLevelPrev = iMinLevel;
+ if (m_trPrev.iColor != 0)
+ {
+ iMinLevelPrev = m_trPrev.iColor - nLayers / 2;
+ iMaxLevelPrev = m_trPrev.iColor + nLayers / 2;
+ }
+ if (iMinLevelPrev < iMinLevel)
+ {
+ iMaxLevelPrev += iMinLevel - iMinLevelPrev;
+ iMinLevelPrev = iMinLevel;
+ }
+ if (iMaxLevelPrev > iMaxLevel)
+ {
+ iMinLevelPrev -= iMaxLevelPrev - iMaxLevel;
+ if (iMinLevelPrev < iMinLevel)
+ iMinLevelPrev = iMinLevel;
+ iMaxLevelPrev = iMaxLevel;
+ }
+ int n = nLayers;
+ n -= (iMaxLevelPrev - iMinLevelPrev + 1) / 2;
+ step = float(iMinLevelPrev - iMinLevel + iMaxLevel - iMaxLevelPrev) / float(n);
+ int j = 0;
+ float level;
+ for (level = (float)iMinLevel; level < iMinLevelPrev && j < nLayers; level += step, j++)
+ colors[j] = int(level + 0.5);
+ for (level = (float)iMinLevelPrev; level < iMaxLevelPrev && j < nLayers; level += 2.0, j++)
+ colors[j] = int(level + 0.5);
+ for (level = (float)iMaxLevelPrev; level < iMaxLevel && j < nLayers; level += step, j++)
+ colors[j] = int(level + 0.5);
+ //
+ for (int i = 0; i < nLayers; i++)
+ {
+ cvThreshold(img, thresh, colors[i], 255.0, CV_THRESH_BINARY);
+ if (cvFindContours(thresh, m_mstgRects, &seq, sizeof(CvContour), CV_RETR_CCOMP, CV_CHAIN_APPROX_SIMPLE))
+ {
+ CvTrackingRect cr;
+ for (CvSeq* external = seq; external; external = external->h_next)
+ {
+ cr.r = cvContourBoundingRect(external);
+ Move(cr.r, roi.x, roi.y);
+ if (RectInRect(cr.r, m_rROI) && cr.r.width > dMinSize && cr.r.height > dMinSize)
+ {
+ cr.ptCenter = Center(cr.r);
+ cr.iColor = colors[i];
+ cvSeqPush(m_seqRects, &cr);
+ }
+ for (CvSeq* internal = external->v_next; internal; internal = internal->h_next)
+ {
+ cr.r = cvContourBoundingRect(internal);
+ Move(cr.r, roi.x, roi.y);
+ if (RectInRect(cr.r, m_rROI) && cr.r.width > dMinSize && cr.r.height > dMinSize)
+ {
+ cr.ptCenter = Center(cr.r);
+ cr.iColor = colors[i];
+ cvSeqPush(m_seqRects, &cr);
+ }
+ }
+ }
+ cvClearSeq(seq);
+ }
+ }
+ cvResetImageROI(img);
+ cvResetImageROI(thresh);
+}//void CvFaceElement::FindContours(IplImage* img, IplImage* thresh, int nLayers)
+
+void CvFaceElement::MergeRects(int d)
+{
+ int nRects = m_seqRects->total;
+ CvSeqReader reader, reader2;
+ cvStartReadSeq( m_seqRects, &reader );
+ int i, j;
+ for (i = 0; i < nRects; i++)
+ {
+ CvTrackingRect* pRect1 = (CvTrackingRect*)(reader.ptr);
+ cvStartReadSeq( m_seqRects, &reader2 );
+ cvSetSeqReaderPos(&reader2, i + 1);
+ for (j = i + 1; j < nRects; j++)
+ {
+ CvTrackingRect* pRect2 = (CvTrackingRect*)(reader2.ptr);
+ if (abs(pRect1->ptCenter.y - pRect2->ptCenter.y) < d &&
+ abs(pRect1->r.height - pRect2->r.height) < d)
+ {
+ CvTrackingRect rNew;
+ rNew.iColor = (pRect1->iColor + pRect2->iColor + 1) / 2;
+ rNew.r.x = min(pRect1->r.x, pRect2->r.x);
+ rNew.r.y = min(pRect1->r.y, pRect2->r.y);
+ rNew.r.width = max(pRect1->r.x + pRect1->r.width, pRect2->r.x + pRect2->r.width) - rNew.r.x;
+ rNew.r.height = min(pRect1->r.y + pRect1->r.height, pRect2->r.y + pRect2->r.height) - rNew.r.y;
+ if (rNew.r != pRect1->r && rNew.r != pRect2->r)
+ {
+ rNew.ptCenter = Center(rNew.r);
+ cvSeqPush(m_seqRects, &rNew);
+ }
+ }
+ CV_NEXT_SEQ_ELEM( sizeof(CvTrackingRect), reader2 );
+ }
+ CV_NEXT_SEQ_ELEM( sizeof(CvTrackingRect), reader );
+ }
+ // delete equal rects
+ for (i = 0; i < m_seqRects->total; i++)
+ {
+ CvTrackingRect* pRect1 = (CvTrackingRect*)cvGetSeqElem(m_seqRects, i);
+ int j_begin = i + 1;
+ for (j = j_begin; j < m_seqRects->total;)
+ {
+ CvTrackingRect* pRect2 = (CvTrackingRect*)cvGetSeqElem(m_seqRects, j);
+ if (pRect1->r == pRect2->r)
+ cvSeqRemove(m_seqRects, j);
+ else
+ j++;
+ }
+ }
+
+}//void CvFaceElement::MergeRects(int d)
+
+void CvFaceElement::Energy()
+{
+ CvSeqReader reader, reader2;
+ cvStartReadSeq( m_seqRects, &reader );
+ for (int i = 0; i < m_seqRects->total; i++)
+ {
+ CvTrackingRect* pRect = (CvTrackingRect*)(reader.ptr);
+ // outside and inside rects
+ cvStartReadSeq( m_seqRects, &reader2 );
+ for (int j = 0; j < m_seqRects->total; j++)
+ {
+ CvTrackingRect* pRect2 = (CvTrackingRect*)(reader2.ptr);
+ if (i != j)
+ {
+ if (RectInRect(pRect2->r, pRect->r))
+ pRect->nRectsInThis ++;
+ else if (pRect2->r.y + pRect2->r.height <= pRect->r.y)
+ pRect->nRectsOnTop ++;
+ else if (pRect2->r.y >= pRect->r.y + pRect->r.height)
+ pRect->nRectsOnBottom ++;
+ else if (pRect2->r.x + pRect2->r.width <= pRect->r.x)
+ pRect->nRectsOnLeft ++;
+ else if (pRect2->r.x >= pRect->r.x + pRect->r.width)
+ pRect->nRectsOnRight ++;
+ }
+ CV_NEXT_SEQ_ELEM( sizeof(CvTrackingRect), reader2 );
+ }
+ // energy
+ pRect->Energy(m_trPrev);
+ CV_NEXT_SEQ_ELEM( sizeof(CvTrackingRect), reader );
+ }
+}//void CvFaceElement::Energy()
+
+CV_IMPL CvFaceTracker*
+cvInitFaceTracker(CvFaceTracker* pFaceTracker, const IplImage* imgGray, CvRect* pRects, int nRects)
+{
+ _ASSERT(NULL != imgGray);
+ _ASSERT(NULL != pRects);
+ _ASSERT(nRects >= NUM_FACE_ELEMENTS);
+ if ((NULL == imgGray) ||
+ (NULL == pRects) ||
+ (nRects < NUM_FACE_ELEMENTS))
+ return NULL;
+
+ int new_face = FALSE;
+ CvFaceTracker* pFace = pFaceTracker;
+ if (NULL == pFace)
+ {
+ pFace = new CvFaceTracker;
+ if (NULL == pFace)
+ return NULL;
+ new_face = TRUE;
+ }
+ pFace->Init(pRects, (IplImage*)imgGray);
+ return pFace;
+}//CvFaceTracker* InitFaceTracker(IplImage* imgGray, CvRect* pRects, int nRects)
+
+CV_IMPL void
+cvReleaseFaceTracker(CvFaceTracker** ppFaceTracker)
+{
+ if (NULL == *ppFaceTracker)
+ return;
+ delete *ppFaceTracker;
+ *ppFaceTracker = NULL;
+}//void ReleaseFaceTracker(CvFaceTracker** ppFaceTracker)
+
+
+CV_IMPL int
+cvTrackFace(CvFaceTracker* pFaceTracker, IplImage* imgGray, CvRect* pRects, int nRects, CvPoint* ptRotate, double* dbAngleRotate)
+{
+ _ASSERT(NULL != pFaceTracker);
+ _ASSERT(NULL != imgGray);
+ _ASSERT(NULL != pRects && nRects >= NUM_FACE_ELEMENTS);
+ if ((NULL == pFaceTracker) ||
+ (NULL == imgGray))
+ return FALSE;
+ pFaceTracker->InitNextImage(imgGray);
+ *ptRotate = pFaceTracker->ptRotate;
+ *dbAngleRotate = pFaceTracker->dbRotateAngle;
+
+ int nElements = 16;
+ double dx = pFaceTracker->face[LEYE].ptCenter.x - pFaceTracker->face[REYE].ptCenter.x;
+ double dy = pFaceTracker->face[LEYE].ptCenter.y - pFaceTracker->face[REYE].ptCenter.y;
+ double d_eyes = sqrt(dx*dx + dy*dy);
+ int d = cvRound(0.25 * d_eyes);
+ int dMinSize = d;
+ int nRestarts = 0;
+
+ int elem;
+
+ CvFaceElement big_face[NUM_FACE_ELEMENTS];
+START:
+ // init
+ for (elem = 0; elem < NUM_FACE_ELEMENTS; elem++)
+ {
+ CvRect r = pFaceTracker->face[elem].r;
+ Extend(r, d);
+ if (r.width < 4*d)
+ {
+ r.x -= (4*d - r.width) / 2;
+ r.width += 4*d - r.width;
+ }
+ if (r.height < 3*d)
+ {
+ r.y -= (3*d - r.height) / 2;
+ r.height += 3*d - r.height;
+ }
+ if (r.x < 1)
+ r.x = 1;
+ if (r.y < 1)
+ r.y = 1;
+ if (r.x + r.width > pFaceTracker->imgGray->width - 2)
+ r.width = pFaceTracker->imgGray->width - 2 - r.x;
+ if (r.y + r.height > pFaceTracker->imgGray->height - 2)
+ r.height = pFaceTracker->imgGray->height - 2 - r.y;
+ if (!big_face[elem].Init(r, pFaceTracker->face[elem], pFaceTracker->mstgContours))
+ return FALSE;
+ }
+ // find contours
+ for (elem = 0; elem < NUM_FACE_ELEMENTS; elem++)
+ big_face[elem].FindRects(pFaceTracker->imgGray, pFaceTracker->imgThresh, 32, dMinSize);
+ // candidats
+ CvTrackingRect new_face[NUM_FACE_ELEMENTS];
+ int new_energy = 0;
+ int found = ChoiceTrackingFace3(pFaceTracker, nElements, big_face, new_face, new_energy);
+ int restart = FALSE;
+ int find2 = FALSE;
+ int noel = -1;
+ if (found)
+ {
+ if (new_energy > 100000 && -1 != pFaceTracker->iTrackingFaceType)
+ find2 = TRUE;
+ else if (new_energy > 150000)
+ {
+ int elements = 0;
+ for (int el = 0; el < NUM_FACE_ELEMENTS; el++)
+ {
+ if (big_face[el].m_seqRects->total > 16 || (big_face[el].m_seqRects->total > 8 && new_face[el].iEnergy < 100))
+ elements++;
+ else
+ noel = el;
+ }
+ if (2 == elements)
+ find2 = TRUE;
+ else
+ restart = TRUE;
+ }
+ }
+ else
+ {
+ if (-1 != pFaceTracker->iTrackingFaceType)
+ find2 = TRUE;
+ else
+ restart = TRUE;
+ }
+RESTART:
+ if (restart)
+ {
+ if (nRestarts++ < 2)
+ {
+ d = d + d/4;
+ goto START;
+ }
+ }
+ else if (find2)
+ {
+ if (-1 != pFaceTracker->iTrackingFaceType)
+ noel = pFaceTracker->iTrackingFaceType;
+ int found2 = ChoiceTrackingFace2(pFaceTracker, nElements, big_face, new_face, new_energy, noel);
+ if (found2 && new_energy < 100000)
+ {
+ pFaceTracker->iTrackingFaceType = noel;
+ found = TRUE;
+ }
+ else
+ {
+ restart = TRUE;
+ goto RESTART;
+ }
+ }
+
+ if (found)
+ {
+ // angle by mouth & eyes
+ double vx_prev = double(pFaceTracker->face[LEYE].ptCenter.x + pFaceTracker->face[REYE].ptCenter.x) / 2.0 - pFaceTracker->face[MOUTH].ptCenter.x;
+ double vy_prev = double(pFaceTracker->face[LEYE].ptCenter.y + pFaceTracker->face[REYE].ptCenter.y) / 2.0 - pFaceTracker->face[MOUTH].ptCenter.y;
+ double vx_prev1 = vx_prev * cos(pFaceTracker->dbRotateDelta) - vy_prev * sin(pFaceTracker->dbRotateDelta);
+ double vy_prev1 = vx_prev * sin(pFaceTracker->dbRotateDelta) + vy_prev * cos(pFaceTracker->dbRotateDelta);
+ vx_prev = vx_prev1;
+ vy_prev = vy_prev1;
+ for (elem = 0; elem < NUM_FACE_ELEMENTS; elem++)
+ pFaceTracker->face[elem] = new_face[elem];
+ double vx = double(pFaceTracker->face[LEYE].ptCenter.x + pFaceTracker->face[REYE].ptCenter.x) / 2.0 - pFaceTracker->face[MOUTH].ptCenter.x;
+ double vy = double(pFaceTracker->face[LEYE].ptCenter.y + pFaceTracker->face[REYE].ptCenter.y) / 2.0 - pFaceTracker->face[MOUTH].ptCenter.y;
+ pFaceTracker->dbRotateDelta = 0;
+ double n1_n2 = (vx * vx + vy * vy) * (vx_prev * vx_prev + vy_prev * vy_prev);
+ if (n1_n2 != 0)
+ pFaceTracker->dbRotateDelta = asin((vx * vy_prev - vx_prev * vy) / sqrt(n1_n2));
+ pFaceTracker->dbRotateAngle -= pFaceTracker->dbRotateDelta;
+ }
+ else
+ {
+ pFaceTracker->dbRotateDelta = 0;
+ pFaceTracker->dbRotateAngle = 0;
+ }
+ if ((pFaceTracker->dbRotateAngle >= pi/2 && pFaceTracker->dbRotateAngle > 0) ||
+ (pFaceTracker->dbRotateAngle <= -pi/2 && pFaceTracker->dbRotateAngle < 0))
+ {
+ pFaceTracker->dbRotateDelta = 0;
+ pFaceTracker->dbRotateAngle = 0;
+ found = FALSE;
+ }
+ if (found)
+ {
+ for (int i = 0; i < NUM_FACE_ELEMENTS && i < nRects; i++)
+ pRects[i] = pFaceTracker->face[i].r;
+ }
+ return found;
+}//int FindFaceTracker(CvFaceTracker* pFaceTracker, IplImage* imgGray, CvRect* pRects, int nRects, CvPoint& ptRotate, double& dbAngleRotate)
+
+void ThresholdingParam(IplImage *imgGray, int iNumLayers, int &iMinLevel, int &iMaxLevel, float &step, float& power, int iHistMin /*= HIST_MIN*/)
+{
+ _ASSERT(imgGray != NULL);
+ _ASSERT(imgGray->nChannels == 1);
+ int i, j;
+ // create histogram
+ int histImg[256] = {0};
+ uchar* buffImg = (uchar*)imgGray->imageData;
+ CvRect rROI = cvGetImageROI(imgGray);
+ buffImg += rROI.y * imgGray->widthStep + rROI.x;
+ for (j = 0; j < rROI.height; j++)
+ {
+ for (i = 0; i < rROI.width; i++)
+ histImg[buffImg[i]] ++;
+ buffImg += imgGray->widthStep;
+ }
+ // params
+ for (i = 0; i < 256; i++)
+ {
+ if (histImg[i] > iHistMin)
+ break;
+ }
+ iMinLevel = i;
+ for (i = 255; i >= 0; i--)
+ {
+ if (histImg[i] > iHistMin)
+ break;
+ }
+ iMaxLevel = i;
+ if (iMaxLevel <= iMinLevel)
+ {
+ iMaxLevel = 255;
+ iMinLevel = 0;
+ }
+ // power
+ double black = 1;
+ double white = 1;
+ for (i = iMinLevel; i < (iMinLevel + iMaxLevel) / 2; i++)
+ black += histImg[i];
+ for (i = (iMinLevel + iMaxLevel) / 2; i < iMaxLevel; i++)
+ white += histImg[i];
+ power = float(black) / float(2 * white);
+ //
+ step = float(iMaxLevel - iMinLevel) / float(iNumLayers);
+ if (step < 1.0)
+ step = 1.0;
+}// void ThresholdingParam(IplImage *imgGray, int iNumLayers, int &iMinLevel, int &iMaxLevel, int &iStep)
+
+int ChoiceTrackingFace3(CvFaceTracker* pTF, const int nElements, const CvFaceElement* big_face, CvTrackingRect* face, int& new_energy)
+{
+ CvTrackingRect* curr_face[NUM_FACE_ELEMENTS] = {NULL};
+ CvTrackingRect* new_face[NUM_FACE_ELEMENTS] = {NULL};
+ new_energy = 0x7fffffff;
+ int curr_energy = 0x7fffffff;
+ int found = FALSE;
+ int N = 0;
+ CvSeqReader reader_m, reader_l, reader_r;
+ cvStartReadSeq( big_face[MOUTH].m_seqRects, &reader_m );
+ for (int i_mouth = 0; i_mouth < big_face[MOUTH].m_seqRects->total && i_mouth < nElements; i_mouth++)
+ {
+ curr_face[MOUTH] = (CvTrackingRect*)(reader_m.ptr);
+ cvStartReadSeq( big_face[LEYE].m_seqRects, &reader_l );
+ for (int i_left = 0; i_left < big_face[LEYE].m_seqRects->total && i_left < nElements; i_left++)
+ {
+ curr_face[LEYE] = (CvTrackingRect*)(reader_l.ptr);
+ if (curr_face[LEYE]->r.y + curr_face[LEYE]->r.height < curr_face[MOUTH]->r.y)
+ {
+ cvStartReadSeq( big_face[REYE].m_seqRects, &reader_r );
+ for (int i_right = 0; i_right < big_face[REYE].m_seqRects->total && i_right < nElements; i_right++)
+ {
+ curr_face[REYE] = (CvTrackingRect*)(reader_r.ptr);
+ if (curr_face[REYE]->r.y + curr_face[REYE]->r.height < curr_face[MOUTH]->r.y &&
+ curr_face[REYE]->r.x > curr_face[LEYE]->r.x + curr_face[LEYE]->r.width)
+ {
+ curr_energy = GetEnergy(curr_face, pTF->face, pTF->ptTempl, pTF->rTempl);
+ if (curr_energy < new_energy)
+ {
+ for (int elem = 0; elem < NUM_FACE_ELEMENTS; elem++)
+ new_face[elem] = curr_face[elem];
+ new_energy = curr_energy;
+ found = TRUE;
+ }
+ N++;
+ }
+ }
+ }
+ }
+ }
+ if (found)
+ {
+ for (int elem = 0; elem < NUM_FACE_ELEMENTS; elem++)
+ face[elem] = *(new_face[elem]);
+ }
+ return found;
+} // int ChoiceTrackingFace3(const CvTrackingRect* tr_face, CvTrackingRect* new_face, int& new_energy)
+
+int ChoiceTrackingFace2(CvFaceTracker* pTF, const int nElements, const CvFaceElement* big_face, CvTrackingRect* face, int& new_energy, int noel)
+{
+ int element[NUM_FACE_ELEMENTS];
+ for (int i = 0, elem = 0; i < NUM_FACE_ELEMENTS; i++)
+ {
+ if (i != noel)
+ {
+ element[elem] = i;
+ elem ++;
+ }
+ else
+ element[2] = i;
+ }
+ CvTrackingRect* curr_face[NUM_FACE_ELEMENTS] = {NULL};
+ CvTrackingRect* new_face[NUM_FACE_ELEMENTS] = {NULL};
+ new_energy = 0x7fffffff;
+ int curr_energy = 0x7fffffff;
+ int found = FALSE;
+ int N = 0;
+ CvSeqReader reader0, reader1;
+ cvStartReadSeq( big_face[element[0]].m_seqRects, &reader0 );
+ for (int i0 = 0; i0 < big_face[element[0]].m_seqRects->total && i0 < nElements; i0++)
+ {
+ curr_face[element[0]] = (CvTrackingRect*)(reader0.ptr);
+ cvStartReadSeq( big_face[element[1]].m_seqRects, &reader1 );
+ for (int i1 = 0; i1 < big_face[element[1]].m_seqRects->total && i1 < nElements; i1++)
+ {
+ curr_face[element[1]] = (CvTrackingRect*)(reader1.ptr);
+ curr_energy = GetEnergy2(curr_face, pTF->face, pTF->ptTempl, pTF->rTempl, element);
+ if (curr_energy < new_energy)
+ {
+ for (int elem = 0; elem < NUM_FACE_ELEMENTS; elem++)
+ new_face[elem] = curr_face[elem];
+ new_energy = curr_energy;
+ found = TRUE;
+ }
+ N++;
+ }
+ }
+ if (found)
+ {
+ face[element[0]] = *(new_face[element[0]]);
+ face[element[1]] = *(new_face[element[1]]);
+ // 3 element find by template
+ CvPoint templ_v01 = {pTF->ptTempl[element[1]].x - pTF->ptTempl[element[0]].x, pTF->ptTempl[element[1]].y - pTF->ptTempl[element[0]].y};
+ CvPoint templ_v02 = {pTF->ptTempl[element[2]].x - pTF->ptTempl[element[0]].x, pTF->ptTempl[element[2]].y - pTF->ptTempl[element[0]].y};
+ CvPoint prev_v01 = {pTF->face[element[1]].ptCenter.x - pTF->face[element[0]].ptCenter.x, pTF->face[element[1]].ptCenter.y - pTF->face[element[0]].ptCenter.y};
+ CvPoint prev_v02 = {pTF->face[element[2]].ptCenter.x - pTF->face[element[0]].ptCenter.x, pTF->face[element[2]].ptCenter.y - pTF->face[element[0]].ptCenter.y};
+ CvPoint new_v01 = {new_face[element[1]]->ptCenter.x - new_face[element[0]]->ptCenter.x, new_face[element[1]]->ptCenter.y - new_face[element[0]]->ptCenter.y};
+ double templ_d01 = sqrt((double)templ_v01.x*templ_v01.x + templ_v01.y*templ_v01.y);
+ double templ_d02 = sqrt((double)templ_v02.x*templ_v02.x + templ_v02.y*templ_v02.y);
+ double prev_d01 = sqrt((double)prev_v01.x*prev_v01.x + prev_v01.y*prev_v01.y);
+ double prev_d02 = sqrt((double)prev_v02.x*prev_v02.x + prev_v02.y*prev_v02.y);
+ double new_d01 = sqrt((double)new_v01.x*new_v01.x + new_v01.y*new_v01.y);
+ double scale = templ_d01 / new_d01;
+ double new_d02 = templ_d02 / scale;
+ double sin_a = double(prev_v01.x * prev_v02.y - prev_v01.y * prev_v02.x) / (prev_d01 * prev_d02);
+ double cos_a = cos(asin(sin_a));
+ double x = double(new_v01.x) * cos_a - double(new_v01.y) * sin_a;
+ double y = double(new_v01.x) * sin_a + double(new_v01.y) * cos_a;
+ x = x * new_d02 / new_d01;
+ y = y * new_d02 / new_d01;
+ CvPoint new_v02 = {int(x + 0.5), int(y + 0.5)};
+ face[element[2]].iColor = 0;
+ face[element[2]].iEnergy = 0;
+ face[element[2]].nRectsInThis = 0;
+ face[element[2]].nRectsOnBottom = 0;
+ face[element[2]].nRectsOnLeft = 0;
+ face[element[2]].nRectsOnRight = 0;
+ face[element[2]].nRectsOnTop = 0;
+ face[element[2]].ptCenter.x = new_v02.x + new_face[element[0]]->ptCenter.x;
+ face[element[2]].ptCenter.y = new_v02.y + new_face[element[0]]->ptCenter.y;
+ face[element[2]].r.width = int(double(pTF->rTempl[element[2]].width) / (scale) + 0.5);
+ face[element[2]].r.height = int(double(pTF->rTempl[element[2]].height) / (scale) + 0.5);
+ face[element[2]].r.x = face[element[2]].ptCenter.x - (face[element[2]].r.width + 1) / 2;
+ face[element[2]].r.y = face[element[2]].ptCenter.y - (face[element[2]].r.height + 1) / 2;
+ _ASSERT(face[LEYE].r.x + face[LEYE].r.width <= face[REYE].r.x);
+ }
+ return found;
+} // int ChoiceTrackingFace3(const CvTrackingRect* tr_face, CvTrackingRect* new_face, int& new_energy)
+
+inline int GetEnergy(CvTrackingRect** ppNew, const CvTrackingRect* pPrev, CvPoint* ptTempl, CvRect* rTempl)
+{
+ int energy = 0;
+ CvPoint ptNew[NUM_FACE_ELEMENTS];
+ CvPoint ptPrev[NUM_FACE_ELEMENTS];
+ for (int i = 0; i < NUM_FACE_ELEMENTS; i++)
+ {
+ ptNew[i] = ppNew[i]->ptCenter;
+ ptPrev[i] = pPrev[i].ptCenter;
+ energy += ppNew[i]->iEnergy - 2 * ppNew[i]->nRectsInThis;
+ }
+ double dx = 0, dy = 0, scale = 1, rotate = 0;
+ double e_templ = CalculateTransformationLMS3(ptTempl, ptNew, &scale, &rotate, &dx, &dy);
+ double e_prev = CalculateTransformationLMS3_0(ptPrev, ptNew);
+ double w_eye = double(ppNew[LEYE]->r.width + ppNew[REYE]->r.width) * scale / 2.0;
+ double h_eye = double(ppNew[LEYE]->r.height + ppNew[REYE]->r.height) * scale / 2.0;
+ double w_mouth = double(ppNew[MOUTH]->r.width) * scale;
+ double h_mouth = double(ppNew[MOUTH]->r.height) * scale;
+ energy +=
+ int(512.0 * (e_prev + 16.0 * e_templ)) +
+ 4 * pow2(ppNew[LEYE]->r.width - ppNew[REYE]->r.width) +
+ 4 * pow2(ppNew[LEYE]->r.height - ppNew[REYE]->r.height) +
+ 4 * (int)pow(w_eye - double(rTempl[LEYE].width + rTempl[REYE].width) / 2.0, 2) +
+ 2 * (int)pow(h_eye - double(rTempl[LEYE].height + rTempl[REYE].height) / 2.0, 2) +
+ 1 * (int)pow(w_mouth - double(rTempl[MOUTH].width), 2) +
+ 1 * (int)pow(h_mouth - double(rTempl[MOUTH].height), 2) +
+ 0;
+ return energy;
+}
+
+inline int GetEnergy2(CvTrackingRect** ppNew, const CvTrackingRect* pPrev, CvPoint* ptTempl, CvRect* rTempl, int* element)
+{
+ CvPoint new_v = {ppNew[element[0]]->ptCenter.x - ppNew[element[1]]->ptCenter.x,
+ ppNew[element[0]]->ptCenter.y - ppNew[element[1]]->ptCenter.y};
+ CvPoint prev_v = {pPrev[element[0]].ptCenter.x - pPrev[element[1]].ptCenter.x,
+ pPrev[element[0]].ptCenter.y - pPrev[element[1]].ptCenter.y};
+ double new_d = sqrt((double)new_v.x*new_v.x + new_v.y*new_v.y);
+ double prev_d = sqrt((double)prev_v.x*prev_v.x + prev_v.y*prev_v.y);
+ double dx = ptTempl[element[0]].x - ptTempl[element[1]].x;
+ double dy = ptTempl[element[0]].y - ptTempl[element[1]].y;
+ double templ_d = sqrt(dx*dx + dy*dy);
+ double scale_templ = new_d / templ_d;
+ double w0 = (double)ppNew[element[0]]->r.width * scale_templ;
+ double h0 = (double)ppNew[element[0]]->r.height * scale_templ;
+ double w1 = (double)ppNew[element[1]]->r.width * scale_templ;
+ double h1 = (double)ppNew[element[1]]->r.height * scale_templ;
+
+ int energy = ppNew[element[0]]->iEnergy + ppNew[element[1]]->iEnergy +
+ - 2 * (ppNew[element[0]]->nRectsInThis - ppNew[element[1]]->nRectsInThis) +
+ (int)pow(w0 - (double)rTempl[element[0]].width, 2) +
+ (int)pow(h0 - (double)rTempl[element[0]].height, 2) +
+ (int)pow(w1 - (double)rTempl[element[1]].width, 2) +
+ (int)pow(h1 - (double)rTempl[element[1]].height, 2) +
+ (int)pow(new_d - prev_d, 2) +
+ 0;
+
+ return energy;
+}
+
+inline double CalculateTransformationLMS3( CvPoint* pTemplPoints,
+ CvPoint* pSrcPoints,
+ double* pdbAverageScale,
+ double* pdbAverageRotate,
+ double* pdbAverageShiftX,
+ double* pdbAverageShiftY )
+{
+// double WS = 0;
+ double dbAverageScale = 1;
+ double dbAverageRotate = 0;
+ double dbAverageShiftX = 0;
+ double dbAverageShiftY = 0;
+ double dbLMS = 0;
+
+ _ASSERT( NULL != pTemplPoints);
+ _ASSERT( NULL != pSrcPoints);
+
+ double dbXt = double(pTemplPoints[0].x + pTemplPoints[1].x + pTemplPoints[2].x) / 3.0;
+ double dbYt = double(pTemplPoints[0].y + pTemplPoints[1].y + pTemplPoints[2].y ) / 3.0;
+ double dbXs = double(pSrcPoints[0].x + pSrcPoints[1].x + pSrcPoints[2].x) / 3.0;
+ double dbYs = double(pSrcPoints[0].y + pSrcPoints[1].y + pSrcPoints[2].y) / 3.0;
+
+ double dbXtXt = double(pow2(pTemplPoints[0].x) + pow2(pTemplPoints[1].x) + pow2(pTemplPoints[2].x)) / 3.0;
+ double dbYtYt = double(pow2(pTemplPoints[0].y) + pow2(pTemplPoints[1].y) + pow2(pTemplPoints[2].y)) / 3.0;
+
+ double dbXsXs = double(pow2(pSrcPoints[0].x) + pow2(pSrcPoints[1].x) + pow2(pSrcPoints[2].x)) / 3.0;
+ double dbYsYs = double(pow2(pSrcPoints[0].y) + pow2(pSrcPoints[1].y) + pow2(pSrcPoints[2].y)) / 3.0;
+
+ double dbXtXs = double(pTemplPoints[0].x * pSrcPoints[0].x +
+ pTemplPoints[1].x * pSrcPoints[1].x +
+ pTemplPoints[2].x * pSrcPoints[2].x) / 3.0;
+ double dbYtYs = double(pTemplPoints[0].y * pSrcPoints[0].y +
+ pTemplPoints[1].y * pSrcPoints[1].y +
+ pTemplPoints[2].y * pSrcPoints[2].y) / 3.0;
+
+ double dbXtYs = double(pTemplPoints[0].x * pSrcPoints[0].y +
+ pTemplPoints[1].x * pSrcPoints[1].y +
+ pTemplPoints[2].x * pSrcPoints[2].y) / 3.0;
+ double dbYtXs = double(pTemplPoints[0].y * pSrcPoints[0].x +
+ pTemplPoints[1].y * pSrcPoints[1].x +
+ pTemplPoints[2].y * pSrcPoints[2].x ) / 3.0;
+
+ dbXtXt -= dbXt * dbXt;
+ dbYtYt -= dbYt * dbYt;
+
+ dbXsXs -= dbXs * dbXs;
+ dbYsYs -= dbYs * dbYs;
+
+ dbXtXs -= dbXt * dbXs;
+ dbYtYs -= dbYt * dbYs;
+
+ dbXtYs -= dbXt * dbYs;
+ dbYtXs -= dbYt * dbXs;
+
+ dbAverageRotate = atan2( dbXtYs - dbYtXs, dbXtXs + dbYtYs );
+
+ double cosR = cos(dbAverageRotate);
+ double sinR = sin(dbAverageRotate);
+ double del = dbXsXs + dbYsYs;
+ if( del != 0 )
+ {
+ dbAverageScale = (double(dbXtXs + dbYtYs) * cosR + double(dbXtYs - dbYtXs) * sinR) / del;
+ dbLMS = dbXtXt + dbYtYt - ((double)pow(dbXtXs + dbYtYs,2) + (double)pow(dbXtYs - dbYtXs,2)) / del;
+ }
+
+ dbAverageShiftX = double(dbXt) - dbAverageScale * (double(dbXs) * cosR + double(dbYs) * sinR);
+ dbAverageShiftY = double(dbYt) - dbAverageScale * (double(dbYs) * cosR - double(dbXs) * sinR);
+
+ if( pdbAverageScale != NULL ) *pdbAverageScale = dbAverageScale;
+ if( pdbAverageRotate != NULL ) *pdbAverageRotate = dbAverageRotate;
+ if( pdbAverageShiftX != NULL ) *pdbAverageShiftX = dbAverageShiftX;
+ if( pdbAverageShiftY != NULL ) *pdbAverageShiftY = dbAverageShiftY;
+
+ _ASSERT(dbLMS >= 0);
+ return dbLMS;
+}
+
+inline double CalculateTransformationLMS3_0( CvPoint* pTemplPoints, CvPoint* pSrcPoints)
+{
+ double dbLMS = 0;
+
+ _ASSERT( NULL != pTemplPoints);
+ _ASSERT( NULL != pSrcPoints);
+
+ double dbXt = double(pTemplPoints[0].x + pTemplPoints[1].x + pTemplPoints[2].x) / 3.0;
+ double dbYt = double(pTemplPoints[0].y + pTemplPoints[1].y + pTemplPoints[2].y ) / 3.0;
+ double dbXs = double(pSrcPoints[0].x + pSrcPoints[1].x + pSrcPoints[2].x) / 3.0;
+ double dbYs = double(pSrcPoints[0].y + pSrcPoints[1].y + pSrcPoints[2].y) / 3.0;
+
+ double dbXtXt = double(pow2(pTemplPoints[0].x) + pow2(pTemplPoints[1].x) + pow2(pTemplPoints[2].x)) / 3.0;
+ double dbYtYt = double(pow2(pTemplPoints[0].y) + pow2(pTemplPoints[1].y) + pow2(pTemplPoints[2].y)) / 3.0;
+
+ double dbXsXs = double(pow2(pSrcPoints[0].x) + pow2(pSrcPoints[1].x) + pow2(pSrcPoints[2].x)) / 3.0;
+ double dbYsYs = double(pow2(pSrcPoints[0].y) + pow2(pSrcPoints[1].y) + pow2(pSrcPoints[2].y)) / 3.0;
+
+ double dbXtXs = double(pTemplPoints[0].x * pSrcPoints[0].x +
+ pTemplPoints[1].x * pSrcPoints[1].x +
+ pTemplPoints[2].x * pSrcPoints[2].x) / 3.0;
+ double dbYtYs = double(pTemplPoints[0].y * pSrcPoints[0].y +
+ pTemplPoints[1].y * pSrcPoints[1].y +
+ pTemplPoints[2].y * pSrcPoints[2].y) / 3.0;
+
+ double dbXtYs = double(pTemplPoints[0].x * pSrcPoints[0].y +
+ pTemplPoints[1].x * pSrcPoints[1].y +
+ pTemplPoints[2].x * pSrcPoints[2].y) / 3.0;
+ double dbYtXs = double(pTemplPoints[0].y * pSrcPoints[0].x +
+ pTemplPoints[1].y * pSrcPoints[1].x +
+ pTemplPoints[2].y * pSrcPoints[2].x ) / 3.0;
+
+ dbXtXt -= dbXt * dbXt;
+ dbYtYt -= dbYt * dbYt;
+
+ dbXsXs -= dbXs * dbXs;
+ dbYsYs -= dbYs * dbYs;
+
+ dbXtXs -= dbXt * dbXs;
+ dbYtYs -= dbYt * dbYs;
+
+ dbXtYs -= dbXt * dbYs;
+ dbYtXs -= dbYt * dbXs;
+
+ double del = dbXsXs + dbYsYs;
+ if( del != 0 )
+ dbLMS = dbXtXt + dbYtYt - ((double)pow(dbXtXs + dbYtYs,2) + (double)pow(dbXtYs - dbYtXs,2)) / del;
+ return dbLMS;
+}
+
projects / opencv / blobdiff