double Lens::getFocalLength() const
{
double HFOV = const_map_get(variables,"v").getValue();
return SrcPanoImage::calcFocalLength(m_projectionFormat,HFOV,getCropFactor(),m_imageSize);
}
Matrix3 StraightenPanorama::calcStraighteningRotation(const PanoramaData& panorama)
{
// landscape/non rotated portrait detection is not working correctly
// should use the exif rotation tag but thats not stored anywhere currently...
// 1: use y axis (image x axis), for normal image
// 0: use z axis (image y axis), for non rotated portrait images
// (usually rotation is just stored in EXIF tag)
std::vector<int> coord_idx;
for (unsigned int i = 0; i < panorama.getNrOfImages(); i++) {
SrcPanoImage img = panorama.getSrcImage(i);
// BUG: need to read exif data here, since exif orientation is not
// stored in Panorama data model
double fl=0;
double crop=0;
img.readEXIF(fl, crop, false, false);
double roll = img.getExifOrientation();
if (roll == 90 || roll == 270 ) {
coord_idx.push_back(2);
} else {
coord_idx.push_back(1);
}
}
// build covariance matrix of X
Matrix3 cov;
unsigned int nrOfVariableImages=0;
for (unsigned int i = 0; i < panorama.getNrOfImages(); i++)
{
const SrcPanoImage & img=panorama.getImage(i);
if(img.YawisLinked())
{
//only consider images which are not linked with the previous ones
bool consider=true;
for(unsigned int j=0; j<i; j++)
{
if(img.YawisLinkedWith(panorama.getImage(j)))
{
consider=false;
break;
};
};
if(!consider)
continue;
};
double y = const_map_get(panorama.getImageVariables(i), "y").getValue();
double p = const_map_get(panorama.getImageVariables(i), "p").getValue();
double r = const_map_get(panorama.getImageVariables(i), "r").getValue();
Matrix3 mat;
mat.SetRotationPT(DEG_TO_RAD(y), DEG_TO_RAD(p), DEG_TO_RAD(r));
nrOfVariableImages++;
DEBUG_DEBUG("mat = " << mat);
for (int j=0; j<3; j++) {
for (int k=0; k<3; k++) {
cov.m[j][k] += mat.m[j][coord_idx[i]] * mat.m[k][coord_idx[i]];
}
}
}
cov /= nrOfVariableImages;
DEBUG_DEBUG("cov = " << cov);
// calculate eigenvalues and vectors
Matrix3 eigvectors;
double eigval[3];
int eigvalIdx[3];
int maxsweep = 100;
int maxannil = 0;
double eps = 1e-16;
hugin_utils::eig_jacobi(3, cov.m, eigvectors.m, eigval, eigvalIdx, &maxsweep, &maxannil, &eps);
DEBUG_DEBUG("Eigenvectors & eigenvalues:" << std::endl
<< "V = " << eigvectors << std::endl
<< "D = [" << eigval[0] << ", " << eigval[1] << ", " << eigval[2] << " ]"
<< "idx = [" << eigvalIdx[0] << ", " << eigvalIdx[1] << ", " << eigvalIdx[2] << " ]");
// get up vector, eigenvector with smallest eigenvalue
Vector3 up;
up.x = eigvectors.m[eigvalIdx[2]][0];
up.y = eigvectors.m[eigvalIdx[2]][1];
up.z = eigvectors.m[eigvalIdx[2]][2];
// normalize vector
up.Normalize();
DEBUG_DEBUG("Up vector: up = " << up );
double rotAngle = acos(up.Dot(Vector3(0,0,1)));
if (rotAngle > M_PI/2) {
// turn in shorter direction
up *= -1;
rotAngle = acos(up.Dot(Vector3(0,0,1)));
}
DEBUG_DEBUG("rotation Angle: " << rotAngle);
// get rotation axis
Vector3 rotAxis = up.Cross(Vector3(0,0,1));
DEBUG_DEBUG("rotAxis = " << rotAngle);
// calculate rotation matrix
Matrix3 rotMat = GetRotationAroundU(rotAxis, -rotAngle);
DEBUG_DEBUG("rotMat = " << rotMat);
return rotMat;
}
double Lens::getHFOV() const
{
return const_map_get(this->variables,"v").getValue();
}
