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Georeferencer: Normalize coordinates in order to improve numerical co…
…nditioning of homography estimation.

git-svn-id: http://svn.osgeo.org/qgis/trunk/qgis@13990 c8812cc2-4d05-0410-92ff-de0c093fc19c
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mmassing committed Aug 1, 2010
1 parent 57e207e commit 0532c6dc21d8253f5ccfcd74a67c92b32dfd9eb9
Showing with 86 additions and 10 deletions.
  1. +9 −1 src/plugins/georeferencer/qgsgeoreftransform.cpp
  2. +77 −9 src/plugins/georeferencer/qgsleastsquares.cpp
@@ -562,8 +562,16 @@ bool QgsProjectiveGeorefTransform::updateParametersFromGCPs( const std::vector<Q
{
if ( mapCoords.size() < getMinimumGCPCount() )
return false;


// HACK: flip y coordinates, because georeferencer and gdal use different conventions
std::vector<QgsPoint> flippedPixelCoords( pixelCoords.size() );
for ( uint i = 0; i < pixelCoords.size(); i++ )
{
flippedPixelCoords[i] = QgsPoint( pixelCoords[i].x(), -pixelCoords[i].y() );
}

QgsLeastSquares::projective( mapCoords, pixelCoords, mParameters.H );
QgsLeastSquares::projective( mapCoords, flippedPixelCoords, mParameters.H );

// Invert the homography matrix using adjoint matrix
double *H = mParameters.H;
@@ -17,6 +17,7 @@
#include <stdexcept>

#include <gsl/gsl_linalg.h>
#include <gsl/gsl_blas.h>

#include <QObject>

@@ -174,17 +175,74 @@ void QgsLeastSquares::affine( std::vector<QgsPoint> mapCoords,
}


/**
* Scales the given coordinates so that the center of gravity is at the origin and the mean distance to the origin is sqrt(2).
*
* Also returns 3x3 homogenous matrices which can be used to normalize and de-normalize coordinates.
*/
void normalizeCoordinates( const std::vector<QgsPoint> coords, std::vector<QgsPoint> &normalizedCoords,
double normalizeMatrix[9], double denormalizeMatrix[9])
{
// Calculate center of gravity
double cogX = 0.0, cogY = 0.0;
for ( uint i = 0; i < coords.size(); i++ )
{
cogX+= coords[i].x();
cogY+= coords[i].y();
}
cogX*= 1.0/coords.size();
cogY*= 1.0/coords.size();

// Calculate mean distance to origin
double meanDist = 0.0;
for ( uint i = 0; i < coords.size(); i++ )
{
double X = (coords[i].x() - cogX);
double Y = (coords[i].y() - cogY);
meanDist+= sqrt( X*X + Y*Y );
}
meanDist*= 1.0/coords.size();

double OOD = meanDist/sqrt(2);
double D = 1.0/OOD;
normalizedCoords.resize(coords.size());
for ( uint i = 0; i < coords.size(); i++ )
{
normalizedCoords[i] = QgsPoint( (coords[i].x() - cogX)*D, (coords[i].y() - cogY)*D );
}

normalizeMatrix[0] = D; normalizeMatrix[1] = 0.0; normalizeMatrix[2] = -cogX*D;
normalizeMatrix[3] = 0.0; normalizeMatrix[4] = D; normalizeMatrix[5] = -cogY*D;
normalizeMatrix[6] = 0.0; normalizeMatrix[7] = 0.0; normalizeMatrix[8] = 1.0;

denormalizeMatrix[0] = OOD; denormalizeMatrix[1] = 0.0; denormalizeMatrix[2] = cogX;
denormalizeMatrix[3] = 0.0; denormalizeMatrix[4] = OOD; denormalizeMatrix[5] = cogY;
denormalizeMatrix[6] = 0.0; denormalizeMatrix[7] = 0.0; denormalizeMatrix[8] = 1.0;
}

// Fits a homography to the given corresponding points, and
// return it in H (row-major format).
void QgsLeastSquares::projective( std::vector<QgsPoint> mapCoords,
std::vector<QgsPoint> pixelCoords,
double H[9] )
{
Q_ASSERT( mapCoords.size() == pixelCoords.size() );

if ( mapCoords.size() < 4 )
{
throw std::domain_error( QObject::tr( "Fitting a projective transform requires at least 4 corresponding points." ).toLocal8Bit().constData() );
}

std::vector<QgsPoint> mapCoordsNormalized;
std::vector<QgsPoint> pixelCoordsNormalized;

double normMap[9], denormMap[9];
double normPixel[9], denormPixel[9];
normalizeCoordinates( mapCoords, mapCoordsNormalized, normMap, denormMap );
normalizeCoordinates( pixelCoords, pixelCoordsNormalized, normPixel, denormPixel );
mapCoords = mapCoordsNormalized;
pixelCoords = pixelCoordsNormalized;

// GSL does not support a full SVD, so we artificially add a linear dependent row
// to the matrix in case the system is underconstrained.
uint m = std::max( 9u, ( uint )mapCoords.size() * 2u );
@@ -193,28 +251,28 @@ void QgsLeastSquares::projective( std::vector<QgsPoint> mapCoords,

for ( uint i = 0; i < mapCoords.size(); i++ )
{
gsl_matrix_set( S, i*2, 0, pixelCoords[i].x() );
gsl_matrix_set( S, i*2, 1, -pixelCoords[i].y() );
gsl_matrix_set( S, i*2, 0, pixelCoords[i].x() );
gsl_matrix_set( S, i*2, 1, pixelCoords[i].y() );
gsl_matrix_set( S, i*2, 2, 1.0 );

gsl_matrix_set( S, i*2, 3, 0.0 );
gsl_matrix_set( S, i*2, 4, 0.0 );
gsl_matrix_set( S, i*2, 5, 0.0 );

gsl_matrix_set( S, i*2, 6, -mapCoords[i].x()* pixelCoords[i].x() );
gsl_matrix_set( S, i*2, 7, -mapCoords[i].x()* -pixelCoords[i].y() );
gsl_matrix_set( S, i*2, 6, -mapCoords[i].x()*pixelCoords[i].x() );
gsl_matrix_set( S, i*2, 7, -mapCoords[i].x()*pixelCoords[i].y() );
gsl_matrix_set( S, i*2, 8, -mapCoords[i].x()*1.0 );

gsl_matrix_set( S, i*2 + 1, 0, 0.0 );
gsl_matrix_set( S, i*2 + 1, 1, 0.0 );
gsl_matrix_set( S, i*2 + 1, 2, 0.0 );

gsl_matrix_set( S, i*2 + 1, 3, pixelCoords[i].x() );
gsl_matrix_set( S, i*2 + 1, 4, -pixelCoords[i].y() );
gsl_matrix_set( S, i*2 + 1, 4, pixelCoords[i].y() );
gsl_matrix_set( S, i*2 + 1, 5, 1.0 );

gsl_matrix_set( S, i*2 + 1, 6, -mapCoords[i].y()* pixelCoords[i].x() );
gsl_matrix_set( S, i*2 + 1, 7, -mapCoords[i].y()* -pixelCoords[i].y() );
gsl_matrix_set( S, i*2 + 1, 6, -mapCoords[i].y()*pixelCoords[i].x() );
gsl_matrix_set( S, i*2 + 1, 7, -mapCoords[i].y()*pixelCoords[i].y() );
gsl_matrix_set( S, i*2 + 1, 8, -mapCoords[i].y()*1.0 );
}

@@ -250,10 +308,20 @@ void QgsLeastSquares::projective( std::vector<QgsPoint> mapCoords,
H[i] = gsl_matrix_get( V, i, n - 1 );
}

gsl_matrix *prodMatrix = gsl_matrix_alloc( 3, 3 );

gsl_matrix_view Hmatrix = gsl_matrix_view_array( H, 3, 3 );
gsl_matrix_view normPixelMatrix = gsl_matrix_view_array( normPixel, 3, 3 );
gsl_matrix_view denormMapMatrix = gsl_matrix_view_array( denormMap, 3, 3 );

// Change coordinate frame of image and pre-image from normalized to map and pixel coordinates.
// H' = denormalizeMapCoords*H*normalizePixelCoords
gsl_blas_dgemm(CblasNoTrans, CblasNoTrans, 1.0, &Hmatrix.matrix, &normPixelMatrix.matrix, 0.0, prodMatrix );
gsl_blas_dgemm(CblasNoTrans, CblasNoTrans, 1.0, &denormMapMatrix.matrix, prodMatrix, 0.0, &Hmatrix.matrix );

gsl_matrix_free( prodMatrix );
gsl_matrix_free( S );
gsl_matrix_free( V );
gsl_vector_free( singular_values );
gsl_vector_free( work );
}


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