CPVector AutoPanoSiftMultiRow::automatch(CPDetectorSetting &setting, Panorama & pano, const UIntSet & imgs,
int nFeatures, int & ret_value, wxWindow *parent)
{
CPVector cps;
if (imgs.size() < 2)
{
return cps;
};
std::vector<wxString> keyFiles(pano.getNrOfImages());
//generate cp for every consecutive image pair
unsigned int counter=0;
for(UIntSet::const_iterator it = imgs.begin(); it != imgs.end(); )
{
if(counter==imgs.size()-1)
break;
counter++;
UIntSet ImagePair;
ImagePair.clear();
ImagePair.insert(*it);
it++;
ImagePair.insert(*it);
AutoPanoSift matcher;
CPVector new_cps;
new_cps.clear();
if(setting.IsTwoStepDetector())
new_cps=matcher.automatch(setting, pano, ImagePair, nFeatures, keyFiles, ret_value, parent);
else
new_cps=matcher.automatch(setting, pano, ImagePair, nFeatures, ret_value, parent);
if(new_cps.size()>0)
AddControlPointsWithCheck(cps,new_cps);
if(ret_value!=0)
{
Cleanup(setting, pano, imgs, keyFiles, parent);
return cps;
};
};
// now connect all image groups
// generate temporary panorama to add all found cps
UIntSet allImgs;
fill_set(allImgs, 0, pano.getNrOfImages()-1);
Panorama optPano=pano.getSubset(allImgs);
for (CPVector::const_iterator it=cps.begin();it!=cps.end();++it)
optPano.addCtrlPoint(*it);
CPGraph graph;
createCPGraph(optPano, graph);
CPComponents comps;
int n = findCPComponents(graph, comps);
if(n>1)
{
UIntSet ImagesGroups;
for(unsigned int i=0;i<n;i++)
{
ImagesGroups.insert(*(comps[i].begin()));
if(comps[i].size()>1)
ImagesGroups.insert(*(comps[i].rbegin()));
};
AutoPanoSift matcher;
CPVector new_cps;
if(setting.IsTwoStepDetector())
new_cps=matcher.automatch(setting, optPano, ImagesGroups, nFeatures, keyFiles, ret_value, parent);
else
new_cps=matcher.automatch(setting, optPano, ImagesGroups, nFeatures, ret_value, parent);
if(new_cps.size()>0)
AddControlPointsWithCheck(cps,new_cps,&optPano);
if(ret_value!=0)
{
Cleanup(setting, pano, imgs, keyFiles, parent);
return cps;
};
createCPGraph(optPano,graph);
n=findCPComponents(graph, comps);
};
if(n==1 && setting.GetOption())
{
//next steps happens only when all images are connected;
//now optimize panorama
PanoramaOptions opts = pano.getOptions();
opts.setProjection(PanoramaOptions::EQUIRECTANGULAR);
// calculate proper scaling, 1:1 resolution.
// Otherwise optimizer distances are meaningless.
opts.setWidth(30000, false);
opts.setHeight(15000);
optPano.setOptions(opts);
int w = optPano.calcOptimalWidth();
opts.setWidth(w);
opts.setHeight(w/2);
optPano.setOptions(opts);
//generate optimize vector, optimize only yaw and pitch
OptimizeVector optvars;
const SrcPanoImage & anchorImage = optPano.getImage(opts.optimizeReferenceImage);
for (unsigned i=0; i < optPano.getNrOfImages(); i++)
{
std::set<std::string> imgopt;
if(i==opts.optimizeReferenceImage)
{
//optimize only anchors pitch, not yaw
imgopt.insert("p");
}
else
{
// do not optimize anchor image's stack for position.
if(!optPano.getImage(i).YawisLinkedWith(anchorImage))
{
imgopt.insert("p");
imgopt.insert("y");
};
};
optvars.push_back(imgopt);
}
optPano.setOptimizeVector(optvars);
// remove vertical and horizontal control points
CPVector backupOldCPS = optPano.getCtrlPoints();
CPVector backupNewCPS;
for (CPVector::const_iterator it = backupOldCPS.begin(); it != backupOldCPS.end(); it++) {
if (it->mode == ControlPoint::X_Y)
{
backupNewCPS.push_back(*it);
}
}
optPano.setCtrlPoints(backupNewCPS);
// do a first pairwise optimisation step
HuginBase::AutoOptimise::autoOptimise(optPano,false);
HuginBase::PTools::optimize(optPano);
optPano.setCtrlPoints(backupOldCPS);
//and find cp on overlapping images
//work only on image pairs, which are not yet connected
AutoPanoSiftPreAlign matcher;
CPDetectorSetting newSetting;
newSetting.SetProg(setting.GetProg());
newSetting.SetArgs(setting.GetArgs());
if(setting.IsTwoStepDetector())
{
newSetting.SetProgMatcher(setting.GetProgMatcher());
newSetting.SetArgsMatcher(setting.GetArgsMatcher());
};
newSetting.SetOption(true);
CPVector new_cps;
if(setting.IsTwoStepDetector())
new_cps=matcher.automatch(newSetting, optPano, imgs, nFeatures, keyFiles, ret_value, parent);
else
new_cps=matcher.automatch(newSetting, optPano, imgs, nFeatures, ret_value, parent);
if(new_cps.size()>0)
AddControlPointsWithCheck(cps,new_cps);
};
Cleanup(setting, pano, imgs, keyFiles, parent);
return cps;
};
CPVector AutoPanoSiftMultiRowStack::automatch(CPDetectorSetting &setting, Panorama & pano, const UIntSet & imgs,
int nFeatures, int & ret_value, wxWindow *parent)
{
CPVector cps;
if (imgs.size() == 0) {
return cps;
};
std::vector<stack_img> stack_images;
HuginBase::StandardImageVariableGroups* variable_groups = new HuginBase::StandardImageVariableGroups(pano);
for(UIntSet::const_iterator it = imgs.begin(); it != imgs.end(); it++)
{
unsigned int stack_nr=variable_groups->getStacks().getPartNumber(*it);
//check, if this stack is already in list
bool found=false;
unsigned int index=0;
for(index=0;index<stack_images.size();index++)
{
found=(stack_images[index].layer_nr==stack_nr);
if(found)
break;
};
if(!found)
{
//new stack
stack_images.resize(stack_images.size()+1);
index=stack_images.size()-1;
//add new stack
stack_images[index].layer_nr=stack_nr;
};
//add new image
unsigned int new_image_index=stack_images[index].images.size();
stack_images[index].images.resize(new_image_index+1);
stack_images[index].images[new_image_index].img_nr=*it;
stack_images[index].images[new_image_index].ev=pano.getImage(*it).getExposure();
};
delete variable_groups;
//get image with median exposure for search with cp generator
UIntSet images_layer;
for(unsigned int i=0;i<stack_images.size();i++)
{
std::sort(stack_images[i].images.begin(),stack_images[i].images.end(),sort_img_ev);
unsigned int index=0;
if(stack_images[i].images[0].ev!=stack_images[i].images[stack_images[i].images.size()-1].ev)
{
index=stack_images[i].images.size() / 2;
};
images_layer.insert(stack_images[i].images[index].img_nr);
};
ret_value=0;
//work on all stacks
if(!setting.GetProgStack().IsEmpty())
{
CPDetectorSetting stack_setting;
stack_setting.SetType(CPDetector_AutoPanoSift);
stack_setting.SetProg(setting.GetProgStack());
stack_setting.SetArgs(setting.GetArgsStack());
for(unsigned int i=0;i<stack_images.size();i++)
{
UIntSet images_stack;
images_stack.clear();
for(unsigned int j=0;j<stack_images[i].images.size();j++)
images_stack.insert(stack_images[i].images[j].img_nr);
if(images_stack.size()>1)
{
AutoPanoSift matcher;
CPVector new_cps=matcher.automatch(stack_setting, pano, images_stack, nFeatures, ret_value, parent);
if(new_cps.size()>0)
AddControlPointsWithCheck(cps,new_cps);
if(ret_value!=0)
{
std::vector<wxString> emptyKeyfiles;
Cleanup(setting, pano, imgs, emptyKeyfiles, parent);
return cps;
};
};
};
}
//generate cp for median exposure with multi-row algorithm
if(images_layer.size()>1)
{
UIntSet allImgs;
fill_set(allImgs, 0, pano.getNrOfImages()-1);
Panorama newPano=pano.getSubset(allImgs);
if(cps.size()>0)
for (CPVector::const_iterator it=cps.begin();it!=cps.end();++it)
newPano.addCtrlPoint(*it);
AutoPanoSiftMultiRow matcher;
CPVector new_cps=matcher.automatch(setting, newPano, images_layer, nFeatures, ret_value, parent);
if(new_cps.size()>0)
AddControlPointsWithCheck(cps,new_cps);
};
return cps;
};
