void CvHaarEvaluator::FeatureHaar::generateRandomFeature( Size patchSize )
{
cv::Point2i position;
Size baseDim;
Size sizeFactor;
int area;
//Size minSize = Size( 3, 3 );
int minArea = 9;
bool valid = false;
while ( !valid )
{
//choose position and scale
position.y = rand() % ( patchSize.height );
position.x = rand() % ( patchSize.width );
baseDim.width = (int) ( ( 1 - sqrt( 1 - (float) rand() / RAND_MAX ) ) * patchSize.width );
baseDim.height = (int) ( ( 1 - sqrt( 1 - (float) rand() / RAND_MAX ) ) * patchSize.height );
//select types
//float probType[11] = {0.0909f, 0.0909f, 0.0909f, 0.0909f, 0.0909f, 0.0909f, 0.0909f, 0.0909f, 0.0909f, 0.0909f, 0.0950f};
float probType[11] =
{ 0.2f, 0.2f, 0.2f, 0.2f, 0.2f, 0.2f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f };
float prob = (float) rand() / RAND_MAX;
if( prob < probType[0] )
{
//check if feature is valid
sizeFactor.height = 2;
sizeFactor.width = 1;
if( position.y + baseDim.height * sizeFactor.height >= patchSize.height || position.x + baseDim.width * sizeFactor.width >= patchSize.width )
continue;
area = baseDim.height * sizeFactor.height * baseDim.width * sizeFactor.width;
if( area < minArea )
continue;
m_type = 1;
m_numAreas = 2;
m_weights.resize( m_numAreas );
m_weights[0] = 1;
m_weights[1] = -1;
m_areas.resize( m_numAreas );
m_areas[0].x = position.x;
m_areas[0].y = position.y;
m_areas[0].height = baseDim.height;
m_areas[0].width = baseDim.width;
m_areas[1].x = position.x;
m_areas[1].y = position.y + baseDim.height;
m_areas[1].height = baseDim.height;
m_areas[1].width = baseDim.width;
m_initMean = 0;
m_initSigma = INITSIGMA( m_numAreas );
valid = true;
}
else if( prob < probType[0] + probType[1] )
{
//check if feature is valid
sizeFactor.height = 1;
sizeFactor.width = 2;
if( position.y + baseDim.height * sizeFactor.height >= patchSize.height || position.x + baseDim.width * sizeFactor.width >= patchSize.width )
continue;
area = baseDim.height * sizeFactor.height * baseDim.width * sizeFactor.width;
if( area < minArea )
continue;
m_type = 2;
m_numAreas = 2;
m_weights.resize( m_numAreas );
m_weights[0] = 1;
m_weights[1] = -1;
m_areas.resize( m_numAreas );
m_areas[0].x = position.x;
m_areas[0].y = position.y;
m_areas[0].height = baseDim.height;
m_areas[0].width = baseDim.width;
m_areas[1].x = position.x + baseDim.width;
m_areas[1].y = position.y;
m_areas[1].height = baseDim.height;
m_areas[1].width = baseDim.width;
m_initMean = 0;
m_initSigma = INITSIGMA( m_numAreas );
valid = true;
}
else if( prob < probType[0] + probType[1] + probType[2] )
{
//check if feature is valid
sizeFactor.height = 4;
sizeFactor.width = 1;
if( position.y + baseDim.height * sizeFactor.height >= patchSize.height || position.x + baseDim.width * sizeFactor.width >= patchSize.width )
continue;
area = baseDim.height * sizeFactor.height * baseDim.width * sizeFactor.width;
if( area < minArea )
continue;
m_type = 3;
m_numAreas = 3;
m_weights.resize( m_numAreas );
m_weights[0] = 1;
m_weights[1] = -2;
m_weights[2] = 1;
m_areas.resize( m_numAreas );
m_areas[0].x = position.x;
m_areas[0].y = position.y;
m_areas[0].height = baseDim.height;
m_areas[0].width = baseDim.width;
m_areas[1].x = position.x;
m_areas[1].y = position.y + baseDim.height;
m_areas[1].height = 2 * baseDim.height;
m_areas[1].width = baseDim.width;
m_areas[2].y = position.y + 3 * baseDim.height;
m_areas[2].x = position.x;
m_areas[2].height = baseDim.height;
m_areas[2].width = baseDim.width;
m_initMean = 0;
m_initSigma = INITSIGMA( m_numAreas );
valid = true;
}
else if( prob < probType[0] + probType[1] + probType[2] + probType[3] )
{
//check if feature is valid
sizeFactor.height = 1;
sizeFactor.width = 4;
if( position.y + baseDim.height * sizeFactor.height >= patchSize.height || position.x + baseDim.width * sizeFactor.width >= patchSize.width )
continue;
area = baseDim.height * sizeFactor.height * baseDim.width * sizeFactor.width;
if( area < minArea )
continue;
m_type = 3;
m_numAreas = 3;
m_weights.resize( m_numAreas );
m_weights[0] = 1;
m_weights[1] = -2;
m_weights[2] = 1;
m_areas.resize( m_numAreas );
m_areas[0].x = position.x;
m_areas[0].y = position.y;
m_areas[0].height = baseDim.height;
m_areas[0].width = baseDim.width;
m_areas[1].x = position.x + baseDim.width;
m_areas[1].y = position.y;
m_areas[1].height = baseDim.height;
m_areas[1].width = 2 * baseDim.width;
m_areas[2].y = position.y;
m_areas[2].x = position.x + 3 * baseDim.width;
m_areas[2].height = baseDim.height;
m_areas[2].width = baseDim.width;
m_initMean = 0;
m_initSigma = INITSIGMA( m_numAreas );
valid = true;
}
else if( prob < probType[0] + probType[1] + probType[2] + probType[3] + probType[4] )
{
//check if feature is valid
sizeFactor.height = 2;
sizeFactor.width = 2;
if( position.y + baseDim.height * sizeFactor.height >= patchSize.height || position.x + baseDim.width * sizeFactor.width >= patchSize.width )
continue;
area = baseDim.height * sizeFactor.height * baseDim.width * sizeFactor.width;
if( area < minArea )
continue;
m_type = 5;
m_numAreas = 4;
m_weights.resize( m_numAreas );
m_weights[0] = 1;
m_weights[1] = -1;
m_weights[2] = -1;
m_weights[3] = 1;
m_areas.resize( m_numAreas );
m_areas[0].x = position.x;
m_areas[0].y = position.y;
m_areas[0].height = baseDim.height;
m_areas[0].width = baseDim.width;
m_areas[1].x = position.x + baseDim.width;
m_areas[1].y = position.y;
m_areas[1].height = baseDim.height;
m_areas[1].width = baseDim.width;
m_areas[2].y = position.y + baseDim.height;
m_areas[2].x = position.x;
m_areas[2].height = baseDim.height;
m_areas[2].width = baseDim.width;
m_areas[3].y = position.y + baseDim.height;
m_areas[3].x = position.x + baseDim.width;
m_areas[3].height = baseDim.height;
m_areas[3].width = baseDim.width;
m_initMean = 0;
m_initSigma = INITSIGMA( m_numAreas );
valid = true;
}
else if( prob < probType[0] + probType[1] + probType[2] + probType[3] + probType[4] + probType[5] )
{
//check if feature is valid
sizeFactor.height = 3;
sizeFactor.width = 3;
if( position.y + baseDim.height * sizeFactor.height >= patchSize.height || position.x + baseDim.width * sizeFactor.width >= patchSize.width )
continue;
area = baseDim.height * sizeFactor.height * baseDim.width * sizeFactor.width;
if( area < minArea )
continue;
m_type = 6;
m_numAreas = 2;
m_weights.resize( m_numAreas );
m_weights[0] = 1;
m_weights[1] = -9;
m_areas.resize( m_numAreas );
m_areas[0].x = position.x;
m_areas[0].y = position.y;
m_areas[0].height = 3 * baseDim.height;
m_areas[0].width = 3 * baseDim.width;
m_areas[1].x = position.x + baseDim.width;
m_areas[1].y = position.y + baseDim.height;
m_areas[1].height = baseDim.height;
m_areas[1].width = baseDim.width;
m_initMean = -8 * 128;
m_initSigma = INITSIGMA( m_numAreas );
valid = true;
}
else if( prob < probType[0] + probType[1] + probType[2] + probType[3] + probType[4] + probType[5] + probType[6] )
{
//check if feature is valid
sizeFactor.height = 3;
sizeFactor.width = 1;
if( position.y + baseDim.height * sizeFactor.height >= patchSize.height || position.x + baseDim.width * sizeFactor.width >= patchSize.width )
continue;
area = baseDim.height * sizeFactor.height * baseDim.width * sizeFactor.width;
if( area < minArea )
continue;
m_type = 7;
m_numAreas = 3;
m_weights.resize( m_numAreas );
m_weights[0] = 1;
m_weights[1] = -2;
m_weights[2] = 1;
m_areas.resize( m_numAreas );
m_areas[0].x = position.x;
m_areas[0].y = position.y;
m_areas[0].height = baseDim.height;
m_areas[0].width = baseDim.width;
m_areas[1].x = position.x;
m_areas[1].y = position.y + baseDim.height;
m_areas[1].height = baseDim.height;
m_areas[1].width = baseDim.width;
m_areas[2].y = position.y + baseDim.height * 2;
m_areas[2].x = position.x;
m_areas[2].height = baseDim.height;
m_areas[2].width = baseDim.width;
m_initMean = 0;
m_initSigma = INITSIGMA( m_numAreas );
valid = true;
}
else if( prob < probType[0] + probType[1] + probType[2] + probType[3] + probType[4] + probType[5] + probType[6] + probType[7] )
{
//check if feature is valid
sizeFactor.height = 1;
sizeFactor.width = 3;
if( position.y + baseDim.height * sizeFactor.height >= patchSize.height || position.x + baseDim.width * sizeFactor.width >= patchSize.width )
continue;
area = baseDim.height * sizeFactor.height * baseDim.width * sizeFactor.width;
if( area < minArea )
continue;
m_type = 8;
m_numAreas = 3;
m_weights.resize( m_numAreas );
m_weights[0] = 1;
m_weights[1] = -2;
m_weights[2] = 1;
m_areas.resize( m_numAreas );
m_areas[0].x = position.x;
m_areas[0].y = position.y;
m_areas[0].height = baseDim.height;
m_areas[0].width = baseDim.width;
m_areas[1].x = position.x + baseDim.width;
m_areas[1].y = position.y;
m_areas[1].height = baseDim.height;
m_areas[1].width = baseDim.width;
m_areas[2].y = position.y;
m_areas[2].x = position.x + 2 * baseDim.width;
m_areas[2].height = baseDim.height;
m_areas[2].width = baseDim.width;
m_initMean = 0;
m_initSigma = INITSIGMA( m_numAreas );
valid = true;
}
else if( prob < probType[0] + probType[1] + probType[2] + probType[3] + probType[4] + probType[5] + probType[6] + probType[7] + probType[8] )
{
//check if feature is valid
sizeFactor.height = 3;
sizeFactor.width = 3;
if( position.y + baseDim.height * sizeFactor.height >= patchSize.height || position.x + baseDim.width * sizeFactor.width >= patchSize.width )
continue;
area = baseDim.height * sizeFactor.height * baseDim.width * sizeFactor.width;
if( area < minArea )
continue;
m_type = 9;
m_numAreas = 2;
m_weights.resize( m_numAreas );
m_weights[0] = 1;
m_weights[1] = -2;
m_areas.resize( m_numAreas );
m_areas[0].x = position.x;
m_areas[0].y = position.y;
m_areas[0].height = 3 * baseDim.height;
m_areas[0].width = 3 * baseDim.width;
m_areas[1].x = position.x + baseDim.width;
m_areas[1].y = position.y + baseDim.height;
m_areas[1].height = baseDim.height;
m_areas[1].width = baseDim.width;
m_initMean = 0;
m_initSigma = INITSIGMA( m_numAreas );
valid = true;
}
else if( prob
< probType[0] + probType[1] + probType[2] + probType[3] + probType[4] + probType[5] + probType[6] + probType[7] + probType[8] + probType[9] )
{
//check if feature is valid
sizeFactor.height = 3;
sizeFactor.width = 1;
if( position.y + baseDim.height * sizeFactor.height >= patchSize.height || position.x + baseDim.width * sizeFactor.width >= patchSize.width )
continue;
area = baseDim.height * sizeFactor.height * baseDim.width * sizeFactor.width;
if( area < minArea )
continue;
m_type = 10;
m_numAreas = 3;
m_weights.resize( m_numAreas );
m_weights[0] = 1;
m_weights[1] = -1;
m_weights[2] = 1;
m_areas.resize( m_numAreas );
m_areas[0].x = position.x;
m_areas[0].y = position.y;
m_areas[0].height = baseDim.height;
m_areas[0].width = baseDim.width;
m_areas[1].x = position.x;
m_areas[1].y = position.y + baseDim.height;
m_areas[1].height = baseDim.height;
m_areas[1].width = baseDim.width;
m_areas[2].y = position.y + baseDim.height * 2;
m_areas[2].x = position.x;
m_areas[2].height = baseDim.height;
m_areas[2].width = baseDim.width;
m_initMean = 128;
m_initSigma = INITSIGMA( m_numAreas );
valid = true;
}
else if( prob
< probType[0] + probType[1] + probType[2] + probType[3] + probType[4] + probType[5] + probType[6] + probType[7] + probType[8] + probType[9]
+ probType[10] )
{
//check if feature is valid
sizeFactor.height = 1;
sizeFactor.width = 3;
if( position.y + baseDim.height * sizeFactor.height >= patchSize.height || position.x + baseDim.width * sizeFactor.width >= patchSize.width )
continue;
area = baseDim.height * sizeFactor.height * baseDim.width * sizeFactor.width;
if( area < minArea )
continue;
m_type = 11;
m_numAreas = 3;
m_weights.resize( m_numAreas );
m_weights[0] = 1;
m_weights[1] = -1;
m_weights[2] = 1;
m_areas.resize( m_numAreas );
m_areas[0].x = position.x;
m_areas[0].y = position.y;
m_areas[0].height = baseDim.height;
m_areas[0].width = baseDim.width;
m_areas[1].x = position.x + baseDim.width;
m_areas[1].y = position.y;
m_areas[1].height = baseDim.height;
m_areas[1].width = baseDim.width;
m_areas[2].y = position.y;
m_areas[2].x = position.x + 2 * baseDim.width;
m_areas[2].height = baseDim.height;
m_areas[2].width = baseDim.width;
m_initMean = 128;
m_initSigma = INITSIGMA( m_numAreas );
valid = true;
}
else
CV_Error(CV_StsAssert, "");
}
m_initSize = patchSize;
m_curSize = m_initSize;
m_scaleFactorWidth = m_scaleFactorHeight = 1.0f;
m_scaleAreas.resize( m_numAreas );
m_scaleWeights.resize( m_numAreas );
for ( int curArea = 0; curArea < m_numAreas; curArea++ )
{
m_scaleAreas[curArea] = m_areas[curArea];
m_scaleWeights[curArea] = (float) m_weights[curArea] / (float) ( m_areas[curArea].width * m_areas[curArea].height );
}
}
void FeatureHistogram::generateRandomFeature(Size patchSize)
{
initflag=false;
//cua haar de scale weight
Point2D position;
Size baseDim;
Size sizeFactor;
int area;
Size minSize = Size(3,3);
int minArea = 9;
bool valid = false;
while (!valid)
{
//chosse position and scale
position.row = rand()%(patchSize.height);
position.col = rand()%(patchSize.width);
baseDim.width = (int) ((1-sqrt(1-(float)rand()/RAND_MAX))*patchSize.width);
baseDim.height = (int) ((1-sqrt(1-(float)rand()/RAND_MAX))*patchSize.height);
//select types
//float probType[11] = {0.0909f, 0.0909f, 0.0909f, 0.0909f, 0.0909f, 0.0909f, 0.0909f, 0.0909f, 0.0909f, 0.0909f, 0.0950f};
float probType[11] = {0.2f, 0.2f, 0.2f, 0.2f, 0.2f, 0.2f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f};
float prob = (float)rand()/RAND_MAX;
if (prob < probType[0])
{
//check if feature is valid
sizeFactor.height = 2;
sizeFactor.width = 1;
if (position.row + baseDim.height*sizeFactor.height >= patchSize.height ||
position.col + baseDim.width*sizeFactor.width >= patchSize.width)
continue;
area = baseDim.height*sizeFactor.height*baseDim.width*sizeFactor.width;
if (area < minArea)
continue;
strcpy (m_type, "Type1");
m_numAreas = 2;
m_weights = new int[m_numAreas];
m_weights[0] = 1;
m_weights[1] = -1;
m_areas = new Rect[m_numAreas];
m_areas[0].left = position.col;
m_areas[0].upper = position.row;
m_areas[0].height = baseDim.height;
m_areas[0].width = baseDim.width;
m_areas[1].left = position.col;
m_areas[1].upper = position.row+baseDim.height;
m_areas[1].height = baseDim.height;
m_areas[1].width = baseDim.width;
m_initMean = 0;
m_initSigma = INITSIGMA( m_numAreas );
valid = true;
}
else if (prob < probType[0]+probType[1])
{
//check if feature is valid
sizeFactor.height = 1;
sizeFactor.width = 2;
if (position.row + baseDim.height*sizeFactor.height >= patchSize.height ||
position.col + baseDim.width*sizeFactor.width >= patchSize.width)
continue;
area = baseDim.height*sizeFactor.height*baseDim.width*sizeFactor.width;
if (area < minArea)
continue;
strcpy (m_type, "Type2");
m_numAreas = 2;
m_weights = new int[m_numAreas];
m_weights[0] = 1;
m_weights[1] = -1;
m_areas = new Rect[m_numAreas];
m_areas[0].left = position.col;
m_areas[0].upper = position.row;
m_areas[0].height = baseDim.height;
m_areas[0].width = baseDim.width;
m_areas[1].left = position.col+baseDim.width;
m_areas[1].upper = position.row;
m_areas[1].height = baseDim.height;
m_areas[1].width = baseDim.width;
m_initMean = 0;
m_initSigma = INITSIGMA( m_numAreas );
valid = true;
}
else if (prob < probType[0]+probType[1]+probType[2])
{
//check if feature is valid
sizeFactor.height = 4;
sizeFactor.width = 1;
if (position.row + baseDim.height*sizeFactor.height >= patchSize.height ||
position.col + baseDim.width*sizeFactor.width >= patchSize.width)
continue;
area = baseDim.height*sizeFactor.height*baseDim.width*sizeFactor.width;
if (area < minArea)
continue;
strcpy (m_type, "Type3");
m_numAreas = 3;
m_weights = new int[m_numAreas];
m_weights[0] = 1;
m_weights[1] = -2;
m_weights[2] = 1;
m_areas = new Rect[m_numAreas];
m_areas[0].left = position.col;
m_areas[0].upper = position.row;
m_areas[0].height = baseDim.height;
m_areas[0].width = baseDim.width;
m_areas[1].left = position.col;
m_areas[1].upper = position.row+baseDim.height;
m_areas[1].height = 2*baseDim.height;
m_areas[1].width = baseDim.width;
m_areas[2].upper = position.row+3*baseDim.height;
m_areas[2].left = position.col;
m_areas[2].height = baseDim.height;
m_areas[2].width = baseDim.width;
m_initMean = 0;
m_initSigma = INITSIGMA( m_numAreas );
valid = true;
}
else if (prob < probType[0]+probType[1]+probType[2]+probType[3])
{
//check if feature is valid
sizeFactor.height = 1;
sizeFactor.width = 4;
if (position.row + baseDim.height*sizeFactor.height >= patchSize.height ||
position.col + baseDim.width*sizeFactor.width >= patchSize.width)
continue;
area = baseDim.height*sizeFactor.height*baseDim.width*sizeFactor.width;
if (area < minArea)
continue;
strcpy (m_type, "Type3");
m_numAreas = 3;
m_weights = new int[m_numAreas];
m_weights[0] = 1;
m_weights[1] = -2;
m_weights[2] = 1;
m_areas = new Rect[m_numAreas];
m_areas[0].left = position.col;
m_areas[0].upper = position.row;
m_areas[0].height = baseDim.height;
m_areas[0].width = baseDim.width;
m_areas[1].left = position.col+baseDim.width;
m_areas[1].upper = position.row;
m_areas[1].height = baseDim.height;
m_areas[1].width = 2*baseDim.width;
m_areas[2].upper = position.row;
m_areas[2].left = position.col+3*baseDim.width;
m_areas[2].height = baseDim.height;
m_areas[2].width = baseDim.width;
m_initMean = 0;
m_initSigma = INITSIGMA( m_numAreas );
valid = true;
}
else if (prob < probType[0]+probType[1]+probType[2]+probType[3]+probType[4])
{
//check if feature is valid
sizeFactor.height = 2;
sizeFactor.width = 2;
if (position.row + baseDim.height*sizeFactor.height >= patchSize.height ||
position.col + baseDim.width*sizeFactor.width >= patchSize.width)
continue;
area = baseDim.height*sizeFactor.height*baseDim.width*sizeFactor.width;
if (area < minArea)
continue;
strcpy (m_type, "Type5");
m_numAreas = 4;
m_weights = new int[m_numAreas];
m_weights[0] = 1;
m_weights[1] = -1;
m_weights[2] = -1;
m_weights[3] = 1;
m_areas = new Rect[m_numAreas];
m_areas[0].left = position.col;
m_areas[0].upper = position.row;
m_areas[0].height = baseDim.height;
m_areas[0].width = baseDim.width;
m_areas[1].left = position.col+baseDim.width;
m_areas[1].upper = position.row;
m_areas[1].height = baseDim.height;
m_areas[1].width = baseDim.width;
m_areas[2].upper = position.row+baseDim.height;
m_areas[2].left = position.col;
m_areas[2].height = baseDim.height;
m_areas[2].width = baseDim.width;
m_areas[3].upper = position.row+baseDim.height;
m_areas[3].left = position.col+baseDim.width;
m_areas[3].height = baseDim.height;
m_areas[3].width = baseDim.width;
m_initMean = 0;
m_initSigma = INITSIGMA( m_numAreas );
valid = true;
}
else if (prob < probType[0]+probType[1]+probType[2]+probType[3]+probType[4]+probType[5])
{
//check if feature is valid
sizeFactor.height = 3;
sizeFactor.width = 3;
if (position.row + baseDim.height*sizeFactor.height >= patchSize.height ||
position.col + baseDim.width*sizeFactor.width >= patchSize.width)
continue;
area = baseDim.height*sizeFactor.height*baseDim.width*sizeFactor.width;
if (area < minArea)
continue;
strcpy (m_type, "Type6");
m_numAreas = 2;
m_weights = new int[m_numAreas];
m_weights[0] = 1;
m_weights[1] = -9;
m_areas = new Rect[m_numAreas];
m_areas[0].left = position.col;
m_areas[0].upper = position.row;
m_areas[0].height = 3*baseDim.height;
m_areas[0].width = 3*baseDim.width;
m_areas[1].left = position.col+baseDim.width;
m_areas[1].upper = position.row+baseDim.height;
m_areas[1].height = baseDim.height;
m_areas[1].width = baseDim.width;
m_initMean = -8*128;
m_initSigma = INITSIGMA( m_numAreas );
valid = true;
}
else if (prob< probType[0]+probType[1]+probType[2]+probType[3]+probType[4]+probType[5]+probType[6])
{
//check if feature is valid
sizeFactor.height = 3;
sizeFactor.width = 1;
if (position.row + baseDim.height*sizeFactor.height >= patchSize.height ||
position.col + baseDim.width*sizeFactor.width >= patchSize.width)
continue;
area = baseDim.height*sizeFactor.height*baseDim.width*sizeFactor.width;
if (area < minArea)
continue;
strcpy (m_type, "Type7");
m_numAreas = 3;
m_weights = new int[m_numAreas];
m_weights[0] = 1;
m_weights[1] = -2;
m_weights[2] = 1;
m_areas = new Rect[m_numAreas];
m_areas[0].left = position.col;
m_areas[0].upper = position.row;
m_areas[0].height = baseDim.height;
m_areas[0].width = baseDim.width;
m_areas[1].left = position.col;
m_areas[1].upper = position.row+baseDim.height;
m_areas[1].height = baseDim.height;
m_areas[1].width = baseDim.width;
m_areas[2].upper = position.row+baseDim.height*2;
m_areas[2].left = position.col;
m_areas[2].height = baseDim.height;
m_areas[2].width = baseDim.width;
m_initMean = 0;
m_initSigma = INITSIGMA( m_numAreas );
valid = true;
}
else if (prob < probType[0]+probType[1]+probType[2]+probType[3]+probType[4]+probType[5]+probType[6]+probType[7])
{
//check if feature is valid
sizeFactor.height = 1;
sizeFactor.width = 3;
if (position.row + baseDim.height*sizeFactor.height >= patchSize.height ||
position.col + baseDim.width*sizeFactor.width >= patchSize.width)
continue;
area = baseDim.height*sizeFactor.height*baseDim.width*sizeFactor.width;
if (area < minArea)
continue;
strcpy (m_type, "Type8");
m_numAreas = 3;
m_weights = new int[m_numAreas];
m_weights[0] = 1;
m_weights[1] = -2;
m_weights[2] = 1;
m_areas= new Rect[m_numAreas];
m_areas[0].left = position.col;
m_areas[0].upper = position.row;
m_areas[0].height = baseDim.height;
m_areas[0].width = baseDim.width;
m_areas[1].left = position.col+baseDim.width;
m_areas[1].upper = position.row;
m_areas[1].height = baseDim.height;
m_areas[1].width = baseDim.width;
m_areas[2].upper = position.row;
m_areas[2].left = position.col+2*baseDim.width;
m_areas[2].height = baseDim.height;
m_areas[2].width = baseDim.width;
m_initMean = 0;
m_initSigma = INITSIGMA( m_numAreas );
valid = true;
}
else if (prob < probType[0]+probType[1]+probType[2]+probType[3]+probType[4]+probType[5]+probType[6]+probType[7]+probType[8])
{
//check if feature is valid
sizeFactor.height = 3;
sizeFactor.width = 3;
if (position.row + baseDim.height*sizeFactor.height >= patchSize.height ||
position.col + baseDim.width*sizeFactor.width >= patchSize.width)
continue;
area = baseDim.height*sizeFactor.height*baseDim.width*sizeFactor.width;
if (area < minArea)
continue;
strcpy (m_type, "Type9");
m_numAreas = 2;
m_weights = new int[m_numAreas];
m_weights[0] = 1;
m_weights[1] = -2;
m_areas = new Rect[m_numAreas];
m_areas[0].left = position.col;
m_areas[0].upper = position.row;
m_areas[0].height = 3*baseDim.height;
m_areas[0].width = 3*baseDim.width;
m_areas[1].left = position.col+baseDim.width;
m_areas[1].upper = position.row+baseDim.height;
m_areas[1].height = baseDim.height;
m_areas[1].width = baseDim.width;
m_initMean = 0;
m_initSigma = INITSIGMA( m_numAreas );
valid = true;
}
else if (prob< probType[0]+probType[1]+probType[2]+probType[3]+probType[4]+probType[5]+probType[6]+probType[7]+probType[8]+probType[9])
{
//check if feature is valid
sizeFactor.height = 3;
sizeFactor.width = 1;
if (position.row + baseDim.height*sizeFactor.height >= patchSize.height ||
position.col + baseDim.width*sizeFactor.width >= patchSize.width)
continue;
area = baseDim.height*sizeFactor.height*baseDim.width*sizeFactor.width;
if (area < minArea)
continue;
strcpy (m_type, "Type10");
m_numAreas = 3;
m_weights = new int[m_numAreas];
m_weights[0] = 1;
m_weights[1] = -1;
m_weights[2] = 1;
m_areas = new Rect[m_numAreas];
m_areas[0].left = position.col;
m_areas[0].upper = position.row;
m_areas[0].height = baseDim.height;
m_areas[0].width = baseDim.width;
m_areas[1].left = position.col;
m_areas[1].upper = position.row+baseDim.height;
m_areas[1].height = baseDim.height;
m_areas[1].width = baseDim.width;
m_areas[2].upper = position.row+baseDim.height*2;
m_areas[2].left = position.col;
m_areas[2].height = baseDim.height;
m_areas[2].width = baseDim.width;
m_initMean = 128;
m_initSigma = INITSIGMA( m_numAreas );
valid = true;
}
else if (prob < probType[0]+probType[1]+probType[2]+probType[3]+probType[4]+probType[5]+probType[6]+probType[7]+probType[8]+probType[9]+probType[10])
{
//check if feature is valid
sizeFactor.height = 1;
sizeFactor.width = 3;
if (position.row + baseDim.height*sizeFactor.height >= patchSize.height ||
position.col + baseDim.width*sizeFactor.width >= patchSize.width)
continue;
area = baseDim.height*sizeFactor.height*baseDim.width*sizeFactor.width;
if (area < minArea)
continue;
strcpy (m_type, "Type11");
m_numAreas = 3;
m_weights = new int[m_numAreas];
m_weights[0] = 1;
m_weights[1] = -1;
m_weights[2] = 1;
m_areas = new Rect[m_numAreas];
m_areas[0].left = position.col;
m_areas[0].upper = position.row;
m_areas[0].height = baseDim.height;
m_areas[0].width = baseDim.width;
m_areas[1].left = position.col+baseDim.width;
m_areas[1].upper = position.row;
m_areas[1].height = baseDim.height;
m_areas[1].width = baseDim.width;
m_areas[2].upper = position.row;
m_areas[2].left = position.col+2*baseDim.width;
m_areas[2].height = baseDim.height;
m_areas[2].width = baseDim.width;
m_initMean = 128;
m_initSigma = INITSIGMA( m_numAreas );
valid = true;
}
else
assert (false);
}
m_initSize = patchSize;
m_curSize = m_initSize;
m_scaleFactorWidth = m_scaleFactorHeight = 1.0f;
m_scaleAreas = new Rect[m_numAreas];
m_scaleWeights = new float[m_numAreas];
for (int curArea = 0; curArea<m_numAreas; curArea++) {
m_scaleAreas[curArea] = m_areas[curArea];
m_scaleWeights[curArea] = (float)m_weights[curArea] /
(float)(m_areas[curArea].width*m_areas[curArea].height);
}
}
