OptimizerCVSBA.cpp

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/*
Copyright (c) 2010-2016, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
All rights reserved.

Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are met:
    * Redistributions of source code must retain the above copyright
      notice, this list of conditions and the following disclaimer.
    * Redistributions in binary form must reproduce the above copyright
      notice, this list of conditions and the following disclaimer in the
      documentation and/or other materials provided with the distribution.
    * Neither the name of the Universite de Sherbrooke nor the
      names of its contributors may be used to endorse or promote products
      derived from this software without specific prior written permission.

THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
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*/
#include "rtabmap/core/Graph.h"

#include <rtabmap/utilite/ULogger.h>
#include <rtabmap/utilite/UStl.h>
#include <rtabmap/utilite/UMath.h>
#include <rtabmap/utilite/UConversion.h>
#include <rtabmap/utilite/UTimer.h>
#include <set>

#include <rtabmap/core/OptimizerCVSBA.h>

#ifdef RTABMAP_CVSBA
#include <cvsba/cvsba.h>
#include "rtabmap/core/util3d_motion_estimation.h"
#include "rtabmap/core/util3d_transforms.h"
#include "rtabmap/core/util3d_correspondences.h"
#endif

namespace rtabmap {

bool OptimizerCVSBA::available()
{
#ifdef RTABMAP_CVSBA
        return true;
#else
        return false;
#endif
}

std::map<int, Transform> OptimizerCVSBA::optimizeBA(
                int rootId,
                const std::map<int, Transform> & poses,
                const std::multimap<int, Link> & links,
                const std::map<int, Signature> & signatures)
{
#ifdef RTABMAP_CVSBA
        // run sba optimization
        cvsba::Sba sba;

        // change params if desired
        cvsba::Sba::Params params ;
        params.type = cvsba::Sba::MOTIONSTRUCTURE;
        params.iterations = this->iterations();
        params.minError = this->epsilon();
        params.fixedIntrinsics = 5;
        params.fixedDistortion = 5; // updated below
        params.verbose=ULogger::level() <= ULogger::kInfo;
        sba.setParams(params);

        std::map<int, Transform> frames = poses;

        std::vector<cv::Mat> cameraMatrix(frames.size()); //nframes
        std::vector<cv::Mat> R(frames.size()); //nframes
        std::vector<cv::Mat> T(frames.size()); //nframes
        std::vector<cv::Mat> distCoeffs(frames.size()); //nframes
        std::map<int, int> frameIdToIndex;
        std::map<int, CameraModel> models;
        int oi=0;
        for(std::map<int, Transform>::iterator iter=frames.begin(); iter!=frames.end(); )
        {
                CameraModel model;
                if(uContains(signatures, iter->first))
                {
                        if(signatures.at(iter->first).sensorData().cameraModels().size() == 1 && signatures.at(iter->first).sensorData().cameraModels().at(0).isValidForProjection())
                        {
                                model = signatures.at(iter->first).sensorData().cameraModels()[0];
                        }
                        else if(signatures.at(iter->first).sensorData().stereoCameraModel().isValidForProjection())
                        {
                                model = signatures.at(iter->first).sensorData().stereoCameraModel().left();
                        }
                        else
                        {
                                UERROR("Missing calibration for node %d", iter->first);
                        }
                }
                else
                {
                        UERROR("Did not find node %d in cache", iter->first);
                }

                if(model.isValidForProjection())
                {
                        frameIdToIndex.insert(std::make_pair(iter->first, oi));

                        cameraMatrix[oi] = model.K();
                        if(model.D().cols != 5)
                        {
                                distCoeffs[oi] = cv::Mat::zeros(1, 5, CV_64FC1);
                                UWARN("Camera model %d: Distortion coefficients are not 5, setting all them to 0 (assuming no distortion)", iter->first);
                        }
                        else
                        {
                                distCoeffs[oi] = model.D();
                        }

                        Transform t = (iter->second * model.localTransform()).inverse();

                        R[oi] = (cv::Mat_<double>(3,3) <<
                                        (double)t.r11(), (double)t.r12(), (double)t.r13(),
                                        (double)t.r21(), (double)t.r22(), (double)t.r23(),
                                        (double)t.r31(), (double)t.r32(), (double)t.r33());
                        T[oi] = (cv::Mat_<double>(1,3) << (double)t.x(), (double)t.y(), (double)t.z());
                        ++oi;

                        models.insert(std::make_pair(iter->first, model));

                        UDEBUG("Pose %d = %s", iter->first, t.prettyPrint().c_str());

                        ++iter;
                }
                else
                {
                        frames.erase(iter++);
                }
        }
        cameraMatrix.resize(oi);
        R.resize(oi);
        T.resize(oi);
        distCoeffs.resize(oi);

        std::map<int, cv::Point3f> points3DMap;
        std::map<int, std::map<int, cv::Point2f> > wordReferences; // <ID words, IDs frames + keypoint>
        computeBACorrespondences(frames, links, signatures, points3DMap, wordReferences);

        UDEBUG("points=%d frames=%d", (int)wordReferences.size(), (int)frames.size());
        std::vector<cv::Point3f> points(wordReferences.size()); //npoints
        std::vector<std::vector<cv::Point2f> >  imagePoints(frames.size()); //nframes -> npoints
        std::vector<std::vector<int> > visibility(frames.size()); //nframes -> npoints
        for(unsigned int i=0; i<frames.size(); ++i)
        {
                imagePoints[i].resize(wordReferences.size(), cv::Point2f(std::numeric_limits<float>::quiet_NaN(), std::numeric_limits<float>::quiet_NaN()));
                visibility[i].resize(wordReferences.size(), 0);
        }
        int i=0;
        for(std::map<int, std::map<int, cv::Point2f> >::iterator iter = wordReferences.begin(); iter!=wordReferences.end(); ++iter)
        {
                points[i] = points3DMap.at(iter->first);

                for(std::map<int, cv::Point2f>::const_iterator jter=iter->second.begin(); jter!=iter->second.end(); ++jter)
                {
                        imagePoints[frameIdToIndex.at(jter->first)][i] = jter->second;
                        visibility[frameIdToIndex.at(jter->first)][i] = 1;
                }
                ++i;
        }

        // SBA
        try
        {
                sba.run( points, imagePoints, visibility, cameraMatrix, R, T, distCoeffs);
        }
        catch(cv::Exception & e)
        {
                UERROR("Running SBA... error! %s", e.what());
                return std::map<int, Transform>();
        }

        //update poses
        i=0;
        for(std::map<int, Transform>::iterator iter=frames.begin(); iter!=frames.end(); ++iter)
        {
                Transform t(R[i].at<double>(0,0), R[i].at<double>(0,1), R[i].at<double>(0,2), T[i].at<double>(0),
                                        R[i].at<double>(1,0), R[i].at<double>(1,1), R[i].at<double>(1,2), T[i].at<double>(1),
                                        R[i].at<double>(2,0), R[i].at<double>(2,1), R[i].at<double>(2,2), T[i].at<double>(2));

                UDEBUG("New pose %d = %s", iter->first, t.prettyPrint().c_str());

                iter->second = (models.at(iter->first).localTransform() * t).inverse();

                ++i;
        }

        return frames;

#else
        UERROR("RTAB-Map is not built with cvsba!");
        return std::map<int, Transform>();
#endif
}

} /* namespace rtabmap */