215 lines
6.6 KiB
C++
215 lines
6.6 KiB
C++
// This file is part of SVO - Semi-direct Visual Odometry.
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//
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// Copyright (C) 2014 Christian Forster <forster at ifi dot uzh dot ch>
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// (Robotics and Perception Group, University of Zurich, Switzerland).
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//
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// SVO is free software: you can redistribute it and/or modify it under the
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// terms of the GNU General Public License as published by the Free Software
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// Foundation, either version 3 of the License, or any later version.
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//
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// SVO is distributed in the hope that it will be useful, but WITHOUT ANY
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// WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
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// FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.
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//
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// You should have received a copy of the GNU General Public License
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// along with this program. If not, see <http://www.gnu.org/licenses/>.
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#include <algorithm>
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#include <stdexcept>
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#include <svo/reprojection.h>
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#include <svo/frame.h>
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#include <svo/point.h>
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#include <svo/feature.h>
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#include <svo/map.h>
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#include <svo/config.h>
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#include <boost/bind.hpp>
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#include <boost/thread.hpp>
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#include <vikit/abstract_camera.h>
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#include <vikit/math_utils.h>
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#include <vikit/timer.h>
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namespace svo {
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namespace reprojection {
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Grid::Grid()
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{}
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void Grid::initialize(vk::AbstractCamera* cam)
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{
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cell_size = Config::gridSize();
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grid_n_cols = ceil(static_cast<double>(cam->width())/cell_size);
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grid_n_rows = ceil(static_cast<double>(cam->height())/cell_size);
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cells.resize(grid_n_cols*grid_n_rows);
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std::for_each(cells.begin(), cells.end(), [&](Cell*& c){ c = new Cell; });
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cell_order.resize(cells.size());
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for(size_t i=0; i<cells.size(); ++i)
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cell_order[i] = i;
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random_shuffle(cell_order.begin(), cell_order.end()); // maybe we should do it at every iteration!
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}
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Grid::~Grid()
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{
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std::for_each(cells.begin(), cells.end(), [&](Cell* c){ delete c; });
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cells.clear();
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}
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void resetGrid(Grid& grid)
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{
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std::for_each(grid.cells.begin(), grid.cells.end(), [&](Cell* c){ c->clear(); });
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}
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void reprojectMap(
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Map& map,
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FramePtr frame,
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Grid& grid,
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MapPointCandidates& candidate_points,
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std::vector< std::pair<FramePtr,std::size_t> >& overlap_kfs,
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size_t& n_matches,
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size_t& n_trials)
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{
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resetGrid(grid);
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// Identify those Keyframes which share a common field of view.
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list< pair<FramePtr,double> > close_kfs;
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map.getCloseKeyframes(frame, close_kfs);
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// Sort KFs with overlap according to their closeness // TODO is this still necessary?
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close_kfs.sort(boost::bind(&std::pair<FramePtr, double>::second, _1) <
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boost::bind(&std::pair<FramePtr, double>::second, _2));
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// Reproject all mappoints of the closest N kfs with overlap. We only store
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// in which grid cell the points fall.
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size_t n = 0, max_n = 10;
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overlap_kfs.reserve(max_n);
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for(auto it_frame=close_kfs.begin(), ite_frame=close_kfs.end();
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it_frame!=ite_frame && n<max_n; ++it_frame, ++n)
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{
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FramePtr ref_frame = it_frame->first;
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overlap_kfs.push_back(pair<FramePtr,size_t>(ref_frame,0));
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// Try to reproject each mappoint that the other KF observes
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for(auto it_ftr=ref_frame->fts_.begin(), ite_ftr=ref_frame->fts_.end();
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it_ftr!=ite_ftr; ++it_ftr)
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{
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// check if the feature has a mappoint assigned
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if((*it_ftr)->point == NULL)
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continue;
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// make sure we project a point only once
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if((*it_ftr)->point->last_projected_kf_id_ == frame->id_)
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continue;
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(*it_ftr)->point->last_projected_kf_id_ = frame->id_;
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if(reprojectPoint(grid, frame, (*it_ftr)->point))
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overlap_kfs.back().second++;
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}
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}
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// Now project all point candidates
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{
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boost::unique_lock<boost::mutex> lock(candidate_points.mut_);
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auto it=candidate_points.candidates_.begin();
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while(it!=candidate_points.candidates_.end())
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{
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if(!reprojectPoint(grid, frame, it->first))
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{
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it->first->n_failed_reproj_ += 3;
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if(it->first->n_failed_reproj_ > 30)
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{
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candidate_points.deleteCandidate(*it);
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it = candidate_points.candidates_.erase(it);
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continue;
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}
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}
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++it;
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}
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}
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// Now we go through each grid cell and select one point to match.
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// At the end, we should have at maximum one reprojected point per cell.
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n_matches=0; n_trials=0;
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for(size_t i=0; i<grid.cells.size(); ++i)
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{
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// we prefer good quality points over unkown quality (more likely to match)
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// and unknown quality over candidates (position not optimized)
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if(reprojectCell(*grid.cells.at(grid.cell_order[i]), frame, map, candidate_points, n_trials))
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++n_matches;
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if(n_matches > (size_t) Config::maxFts())
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break;
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}
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}
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bool pointQualityComparator(Candidate& lhs, Candidate& rhs)
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{
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if(lhs.pt->type_ > rhs.pt->type_)
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return true;
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return false;
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}
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bool reprojectCell(
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Cell& cell,
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FramePtr frame,
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Map& map,
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MapPointCandidates& candidate_points,
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size_t& n_trials)
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{
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cell.sort(boost::bind(&pointQualityComparator, _1, _2));
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Cell::iterator it=cell.begin();
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while(it!=cell.end())
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{
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++n_trials;
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if(it->pt->type_ == Point::TYPE_DELETED)
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{
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it = cell.erase(it);
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continue;
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}
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int feature_level;
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bool found_match = matcher::findMatchDirect(*it->pt, *frame, it->px, feature_level);
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if(!found_match)
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{
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it->pt->n_failed_reproj_++;
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if(it->pt->type_ == Point::TYPE_UNKNOWN && it->pt->n_failed_reproj_ > 15)
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map.safeDeletePoint(it->pt);
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if(it->pt->type_ == Point::TYPE_CANDIDATE && it->pt->n_failed_reproj_ > 30)
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candidate_points.deleteCandidatePoint(it->pt);
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it = cell.erase(it);
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continue;
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}
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it->pt->n_succeeded_reproj_++;
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if(it->pt->type_ == Point::TYPE_UNKNOWN && it->pt->n_succeeded_reproj_ > 10)
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it->pt->type_ = Point::TYPE_GOOD;
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Feature* new_feature = new Feature(frame.get(), it->px, feature_level);
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frame->addFeature(new_feature);
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new_feature->point = it->pt;
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// note, we add a reference to the point only if the frame is selected as a keyframe
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// If the keyframe is selected and we reproject the rest, we don't have to
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// check this point anymore.
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it = cell.erase(it);
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// Maximum one point per cell.
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return true;
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}
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return false;
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}
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bool reprojectPoint(
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Grid& grid,
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FramePtr frame,
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Point* point)
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{
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Vector2d px(frame->w2c(point->pos_));
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if(frame->cam_->isInFrame(px.cast<int>(), 8)) // 8px is the patch size in the matcher
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{
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const int k = static_cast<int>(px[1]/grid.cell_size)*grid.grid_n_cols + static_cast<int>(px[0]/grid.cell_size);
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grid.cells.at(k)->push_back(Candidate(point, px));
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return true;
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}
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return false;
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}
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} // namespace reprojection
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} // namespace svo
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