示例#1
0
	bool update_map(rm_localization::UpdateMap::Request &req,
			rm_localization::UpdateMap::Response &res) {

		boost::mutex::scoped_lock lock(closest_keyframe_update_mutex);

		Eigen::Vector3f intrinsics;
		memcpy(intrinsics.data(), req.intrinsics.data(), 3 * sizeof(float));

		bool update_intrinsics = intrinsics[0] != 0.0f;

		if (update_intrinsics) {
			ROS_INFO("Updated camera intrinsics");
			this->intrinsics = intrinsics;
			ROS_INFO_STREAM("New intrinsics" << std::endl << this->intrinsics);
		}

		for (size_t i = 0; i < req.idx.size(); i++) {

			Eigen::Quaternionf orientation;
			Eigen::Vector3f position, intrinsics;

			memcpy(orientation.coeffs().data(),
					req.transform[i].unit_quaternion.data(), 4 * sizeof(float));
			memcpy(position.data(), req.transform[i].position.data(),
					3 * sizeof(float));

			Sophus::SE3f new_pos(orientation, position);

			if (req.idx[i] == closest_keyframe_idx) {
				//closest_keyframe_update_mutex.lock();

				camera_position = new_pos
						* keyframes[req.idx[i]]->get_pos().inverse()
						* camera_position;

				keyframes[req.idx[i]]->get_pos() = new_pos;

				//if (update_intrinsics) {
				//	keyframes[req.idx[i]]->get_intrinsics() = intrinsics;
				//}

				//closest_keyframe_update_mutex.unlock();

			} else {
				keyframes[req.idx[i]]->get_pos() = new_pos;

				//if (update_intrinsics) {
				//	keyframes[req.idx[i]]->get_intrinsics() = intrinsics;
				//}

			}
		}

		return true;
	}
示例#2
0
void RGBDOdometry::initICPModel(GPUTexture * predictedVertices,
                                GPUTexture * predictedNormals,
                                const float depthCutoff,
                                const Eigen::Matrix4f & modelPose)
{
    cudaArray * textPtr;

    cudaGraphicsMapResources(1, &predictedVertices->cudaRes);
    cudaGraphicsSubResourceGetMappedArray(&textPtr, predictedVertices->cudaRes, 0, 0);
    cudaMemcpyFromArray(vmaps_tmp.ptr(), textPtr, 0, 0, vmaps_tmp.sizeBytes(), cudaMemcpyDeviceToDevice);
    cudaGraphicsUnmapResources(1, &predictedVertices->cudaRes);

    cudaGraphicsMapResources(1, &predictedNormals->cudaRes);
    cudaGraphicsSubResourceGetMappedArray(&textPtr, predictedNormals->cudaRes, 0, 0);
    cudaMemcpyFromArray(nmaps_tmp.ptr(), textPtr, 0, 0, nmaps_tmp.sizeBytes(), cudaMemcpyDeviceToDevice);
    cudaGraphicsUnmapResources(1, &predictedNormals->cudaRes);

    copyMaps(vmaps_tmp, nmaps_tmp, vmaps_g_prev_[0], nmaps_g_prev_[0]);

    for(int i = 1; i < NUM_PYRS; ++i)
    {
        resizeVMap(vmaps_g_prev_[i - 1], vmaps_g_prev_[i]);
        resizeNMap(nmaps_g_prev_[i - 1], nmaps_g_prev_[i]);
    }

    Eigen::Matrix<float, 3, 3, Eigen::RowMajor> Rcam = modelPose.topLeftCorner(3, 3);
    Eigen::Vector3f tcam = modelPose.topRightCorner(3, 1);

    mat33 device_Rcam = Rcam;
    float3 device_tcam = *reinterpret_cast<float3*>(tcam.data());

    for(int i = 0; i < NUM_PYRS; ++i)
    {
        tranformMaps(vmaps_g_prev_[i], nmaps_g_prev_[i], device_Rcam, device_tcam, vmaps_g_prev_[i], nmaps_g_prev_[i]);
    }

    cudaDeviceSynchronize();
}
示例#3
0
void display()
{
  using namespace Eigen;
  using namespace igl;
  using namespace std;
  glClearColor(back[0],back[1],back[2],0);
  glClear(GL_COLOR_BUFFER_BIT | GL_DEPTH_BUFFER_BIT);
  // All smooth points
  glEnable( GL_POINT_SMOOTH );

  lights();
  push_scene();
  glEnable(GL_DEPTH_TEST);
  glDepthFunc(GL_LEQUAL);
  glEnable(GL_NORMALIZE);
  glEnable(GL_COLOR_MATERIAL);
  glColorMaterial(GL_FRONT_AND_BACK,GL_AMBIENT_AND_DIFFUSE);
  push_object();

  if(trackball_on)
  {
    // Draw a "laser" line
    glLineWidth(3.0);
    glDisable(GL_LIGHTING);
    glEnable(GL_DEPTH_TEST);
    glBegin(GL_LINES);
    glColor3f(1,0,0);
    glVertex3fv(s.data());
    glColor3f(1,0,0);
    glVertex3fv(d.data());
    glEnd();

    // Draw the start and end points used for ray
    glPointSize(10.0);
    glBegin(GL_POINTS);
    glColor3f(1,0,0);
    glVertex3fv(s.data());
    glColor3f(0,0,1);
    glVertex3fv(d.data());
    glEnd();
  }

  // Draw the model
  glEnable(GL_LIGHTING);
  draw_mesh(V,F,N,C);

  // Draw all hits
  glBegin(GL_POINTS);
  glColor3f(0,0.2,0.2);
  for(vector<igl::embree::Hit>::iterator hit = hits.begin();
      hit != hits.end();
      hit++)
  {
    const double w0 = (1.0-hit->u-hit->v);
    const double w1 = hit->u;
    const double w2 = hit->v;
    VectorXd hitP =
      w0 * V.row(F(hit->id,0)) +
      w1 * V.row(F(hit->id,1)) +
      w2 * V.row(F(hit->id,2));
    glVertex3dv(hitP.data());
  }
  glEnd();

  pop_object();

  // Draw a nice floor
  glPushMatrix();
  glEnable(GL_LIGHTING);
  glTranslated(0,-1,0);
  draw_floor();
  glPopMatrix();

  // draw a transparent "projection screen" show model at time of hit (aka
  // mouse down)
  push_object();
  if(trackball_on)
  {
    glColor4f(0,0,0,1.0);
    glPointSize(10.0);
    glBegin(GL_POINTS);
    glVertex3fv(SW.data());
    glVertex3fv(SE.data());
    glVertex3fv(NE.data());
    glVertex3fv(NW.data());
    glEnd();

    glDisable(GL_LIGHTING);
    glEnable(GL_TEXTURE_2D);
    glBindTexture(GL_TEXTURE_2D, tex_id);
    glColor4f(1,1,1,0.7);
    glBegin(GL_QUADS);
    glTexCoord2d(0,0);
    glVertex3fv(SW.data());
    glTexCoord2d(1,0);
    glVertex3fv(SE.data());
    glTexCoord2d(1,1);
    glVertex3fv(NE.data());
    glTexCoord2d(0,1);
    glVertex3fv(NW.data());
    glEnd();
    glBindTexture(GL_TEXTURE_2D, 0);
    glDisable(GL_TEXTURE_2D);
  }
  pop_object();
  pop_scene();

  // Draw a faint point over mouse
  if(!trackball_on)
  {
    glDisable(GL_LIGHTING);
    glDisable(GL_COLOR_MATERIAL);
    glDisable(GL_DEPTH_TEST);
    glEnable(GL_BLEND);
    glBlendFunc(GL_SRC_ALPHA, GL_ONE_MINUS_SRC_ALPHA);
    glColor4f(1.0,0.3,0.3,0.6);
    glMatrixMode(GL_PROJECTION);
    glLoadIdentity();
    gluOrtho2D(0,width,0,height);
    glMatrixMode(GL_MODELVIEW);
    glLoadIdentity();
    glPointSize(20.0);
    glBegin(GL_POINTS);
    glVertex2fv(win_s.data());
    glEnd();
  }
  report_gl_error();

  glutSwapBuffers();
  glutPostRedisplay();
}
示例#4
0
void RGBDOdometry::getIncrementalTransformation(Eigen::Vector3f & trans,
                                                Eigen::Matrix<float, 3, 3, Eigen::RowMajor> & rot,
                                                const bool & rgbOnly,
                                                const float & icpWeight,
                                                const bool & pyramid,
                                                const bool & fastOdom,
                                                const bool & so3)
{
    bool icp = !rgbOnly && icpWeight > 0;
    bool rgb = rgbOnly || icpWeight < 100;

    Eigen::Matrix<float, 3, 3, Eigen::RowMajor> Rprev = rot;
    Eigen::Vector3f tprev = trans;

    Eigen::Matrix<float, 3, 3, Eigen::RowMajor> Rcurr = Rprev;
    Eigen::Vector3f tcurr = tprev;

    if(rgb)
    {
        for(int i = 0; i < NUM_PYRS; i++)
        {
            computeDerivativeImages(nextImage[i], nextdIdx[i], nextdIdy[i]);
        }
    }

    Eigen::Matrix<double, 3, 3, Eigen::RowMajor> resultR = Eigen::Matrix<double, 3, 3, Eigen::RowMajor>::Identity();

    if(so3)
    {
        int pyramidLevel = 2;

        Eigen::Matrix<float, 3, 3, Eigen::RowMajor> R_lr = Eigen::Matrix<float, 3, 3, Eigen::RowMajor>::Identity();

        Eigen::Matrix<double, 3, 3, Eigen::RowMajor> K = Eigen::Matrix<double, 3, 3, Eigen::RowMajor>::Zero();

        K(0, 0) = intr(pyramidLevel).fx;
        K(1, 1) = intr(pyramidLevel).fy;
        K(0, 2) = intr(pyramidLevel).cx;
        K(1, 2) = intr(pyramidLevel).cy;
        K(2, 2) = 1;

        float lastError = std::numeric_limits<float>::max() / 2;
        float lastCount = std::numeric_limits<float>::max() / 2;

        Eigen::Matrix<double, 3, 3, Eigen::RowMajor> lastResultR = Eigen::Matrix<double, 3, 3, Eigen::RowMajor>::Identity();

        for(int i = 0; i < 10; i++)
        {
            Eigen::Matrix<float, 3, 3, Eigen::RowMajor> jtj;
            Eigen::Matrix<float, 3, 1> jtr;

            Eigen::Matrix<double, 3, 3, Eigen::RowMajor> homography = K * resultR * K.inverse();

            mat33 imageBasis;
            memcpy(&imageBasis.data[0], homography.cast<float>().eval().data(), sizeof(mat33));

            Eigen::Matrix<double, 3, 3, Eigen::RowMajor> K_inv = K.inverse();
            mat33 kinv;
            memcpy(&kinv.data[0], K_inv.cast<float>().eval().data(), sizeof(mat33));

            Eigen::Matrix<double, 3, 3, Eigen::RowMajor> K_R_lr = K * resultR;
            mat33 krlr;
            memcpy(&krlr.data[0], K_R_lr.cast<float>().eval().data(), sizeof(mat33));

            float residual[2];

            TICK("so3Step");
            so3Step(lastNextImage[pyramidLevel],
                    nextImage[pyramidLevel],
                    imageBasis,
                    kinv,
                    krlr,
                    sumDataSO3,
                    outDataSO3,
                    jtj.data(),
                    jtr.data(),
                    &residual[0],
                    GPUConfig::getInstance().so3StepThreads,
                    GPUConfig::getInstance().so3StepBlocks);
            TOCK("so3Step");

            lastSO3Error = sqrt(residual[0]) / residual[1];
            lastSO3Count = residual[1];

            //Converged
            if(lastSO3Error < lastError && lastCount == lastSO3Count)
            {
                break;
            }
            else if(lastSO3Error > lastError + 0.001) //Diverging
            {
                lastSO3Error = lastError;
                lastSO3Count = lastCount;
                resultR = lastResultR;
                break;
            }

            lastError = lastSO3Error;
            lastCount = lastSO3Count;
            lastResultR = resultR;

            Eigen::Vector3f delta = jtj.ldlt().solve(jtr);

            Eigen::Matrix<double, 3, 3, Eigen::RowMajor> rotUpdate = OdometryProvider::rodrigues(delta.cast<double>());

            R_lr = rotUpdate.cast<float>() * R_lr;

            for(int x = 0; x < 3; x++)
            {
                for(int y = 0; y < 3; y++)
                {
                    resultR(x, y) = R_lr(x, y);
                }
            }
        }
    }

    iterations[0] = fastOdom ? 3 : 10;
    iterations[1] = pyramid ? 5 : 0;
    iterations[2] = pyramid ? 4 : 0;

    Eigen::Matrix<float, 3, 3, Eigen::RowMajor> Rprev_inv = Rprev.inverse();
    mat33 device_Rprev_inv = Rprev_inv;
    float3 device_tprev = *reinterpret_cast<float3*>(tprev.data());

    Eigen::Matrix<double, 4, 4, Eigen::RowMajor> resultRt = Eigen::Matrix<double, 4, 4, Eigen::RowMajor>::Identity();

    if(so3)
    {
        for(int x = 0; x < 3; x++)
        {
            for(int y = 0; y < 3; y++)
            {
                resultRt(x, y) = resultR(x, y);
            }
        }
    }

    for(int i = NUM_PYRS - 1; i >= 0; i--)
    {
        if(rgb)
        {
            projectToPointCloud(lastDepth[i], pointClouds[i], intr, i);
        }

        Eigen::Matrix<double, 3, 3, Eigen::RowMajor> K = Eigen::Matrix<double, 3, 3, Eigen::RowMajor>::Zero();

        K(0, 0) = intr(i).fx;
        K(1, 1) = intr(i).fy;
        K(0, 2) = intr(i).cx;
        K(1, 2) = intr(i).cy;
        K(2, 2) = 1;

        lastRGBError = std::numeric_limits<float>::max();

        for(int j = 0; j < iterations[i]; j++)
        {
            Eigen::Matrix<double, 4, 4, Eigen::RowMajor> Rt = resultRt.inverse();

            Eigen::Matrix<double, 3, 3, Eigen::RowMajor> R = Rt.topLeftCorner(3, 3);

            Eigen::Matrix<double, 3, 3, Eigen::RowMajor> KRK_inv = K * R * K.inverse();
            mat33 krkInv;
            memcpy(&krkInv.data[0], KRK_inv.cast<float>().eval().data(), sizeof(mat33));

            Eigen::Vector3d Kt = Rt.topRightCorner(3, 1);
            Kt = K * Kt;
            float3 kt = {(float)Kt(0), (float)Kt(1), (float)Kt(2)};

            int sigma = 0;
            int rgbSize = 0;

            if(rgb)
            {
                TICK("computeRgbResidual");
                computeRgbResidual(pow(minimumGradientMagnitudes[i], 2.0) / pow(sobelScale, 2.0),
                                   nextdIdx[i],
                                   nextdIdy[i],
                                   lastDepth[i],
                                   nextDepth[i],
                                   lastImage[i],
                                   nextImage[i],
                                   corresImg[i],
                                   sumResidualRGB,
                                   maxDepthDeltaRGB,
                                   kt,
                                   krkInv,
                                   sigma,
                                   rgbSize,
                                   GPUConfig::getInstance().rgbResThreads,
                                   GPUConfig::getInstance().rgbResBlocks);
                TOCK("computeRgbResidual");
            }

            float sigmaVal = std::sqrt((float)sigma / rgbSize == 0 ? 1 : rgbSize);
            float rgbError = std::sqrt(sigma) / (rgbSize == 0 ? 1 : rgbSize);

            if(rgbOnly && rgbError > lastRGBError)
            {
                break;
            }

            lastRGBError = rgbError;
            lastRGBCount = rgbSize;

            if(rgbOnly)
            {
                sigmaVal = -1; //Signals the internal optimisation to weight evenly
            }

            Eigen::Matrix<float, 6, 6, Eigen::RowMajor> A_icp;
            Eigen::Matrix<float, 6, 1> b_icp;

            mat33 device_Rcurr = Rcurr;
            float3 device_tcurr = *reinterpret_cast<float3*>(tcurr.data());

            DeviceArray2D<float>& vmap_curr = vmaps_curr_[i];
            DeviceArray2D<float>& nmap_curr = nmaps_curr_[i];

            DeviceArray2D<float>& vmap_g_prev = vmaps_g_prev_[i];
            DeviceArray2D<float>& nmap_g_prev = nmaps_g_prev_[i];

            float residual[2];

            if(icp)
            {
                TICK("icpStep");
                icpStep(device_Rcurr,
                        device_tcurr,
                        vmap_curr,
                        nmap_curr,
                        device_Rprev_inv,
                        device_tprev,
                        intr(i),
                        vmap_g_prev,
                        nmap_g_prev,
                        distThres_,
                        angleThres_,
                        sumDataSE3,
                        outDataSE3,
                        A_icp.data(),
                        b_icp.data(),
                        &residual[0],
                        GPUConfig::getInstance().icpStepThreads,
                        GPUConfig::getInstance().icpStepBlocks);
                TOCK("icpStep");
            }

            lastICPError = sqrt(residual[0]) / residual[1];
            lastICPCount = residual[1];

            Eigen::Matrix<float, 6, 6, Eigen::RowMajor> A_rgbd;
            Eigen::Matrix<float, 6, 1> b_rgbd;

            if(rgb)
            {
                TICK("rgbStep");
                rgbStep(corresImg[i],
                        sigmaVal,
                        pointClouds[i],
                        intr(i).fx,
                        intr(i).fy,
                        nextdIdx[i],
                        nextdIdy[i],
                        sobelScale,
                        sumDataSE3,
                        outDataSE3,
                        A_rgbd.data(),
                        b_rgbd.data(),
                        GPUConfig::getInstance().rgbStepThreads,
                        GPUConfig::getInstance().rgbStepBlocks);
                TOCK("rgbStep");
            }

            Eigen::Matrix<double, 6, 1> result;
            Eigen::Matrix<double, 6, 6, Eigen::RowMajor> dA_rgbd = A_rgbd.cast<double>();
            Eigen::Matrix<double, 6, 6, Eigen::RowMajor> dA_icp = A_icp.cast<double>();
            Eigen::Matrix<double, 6, 1> db_rgbd = b_rgbd.cast<double>();
            Eigen::Matrix<double, 6, 1> db_icp = b_icp.cast<double>();

            if(icp && rgb)
            {
                double w = icpWeight;
                lastA = dA_rgbd + w * w * dA_icp;
                lastb = db_rgbd + w * db_icp;
                result = lastA.ldlt().solve(lastb);
            }
            else if(icp)
            {
                lastA = dA_icp;
                lastb = db_icp;
                result = lastA.ldlt().solve(lastb);
            }
            else if(rgb)
            {
                lastA = dA_rgbd;
                lastb = db_rgbd;
                result = lastA.ldlt().solve(lastb);
            }
            else
            {
                assert(false && "Control shouldn't reach here");
            }

            Eigen::Isometry3f rgbOdom;

            OdometryProvider::computeUpdateSE3(resultRt, result, rgbOdom);

            Eigen::Isometry3f currentT;
            currentT.setIdentity();
            currentT.rotate(Rprev);
            currentT.translation() = tprev;

            currentT = currentT * rgbOdom.inverse();

            tcurr = currentT.translation();
            Rcurr = currentT.rotation();
        }
    }

    if(rgb && (tcurr - tprev).norm() > 0.3)
    {
        Rcurr = Rprev;
        tcurr = tprev;
    }

    if(so3)
    {
        for(int i = 0; i < NUM_PYRS; i++)
        {
            std::swap(lastNextImage[i], nextImage[i]);
        }
    }

    trans = tcurr;
    rot = Rcurr;
}
示例#5
0
文件: main.cpp 项目: leonsenft/OpenGP
void set_uniform_vector(GLuint programID, const char* NAME, const Eigen::Vector3f& vector) {
    GLuint matrix_id = glGetUniformLocation(programID, NAME);
    glUniform3fv(matrix_id, 1, vector.data());
}
	void update_map(bool with_intrinsics = false) {

		rm_localization::UpdateMap update_map_msg;
		update_map_msg.request.idx.resize(map->frames.size());
		update_map_msg.request.transform.resize(map->frames.size());

		if (with_intrinsics) {

			Eigen::Vector3f intrinsics = map->frames[0]->get_intrinsics();

			sensor_msgs::SetCameraInfo s;
			s.request.camera_info.width = map->frames[0]->get_i(0).cols;
			s.request.camera_info.height = map->frames[0]->get_i(0).rows;

			// No distortion
			s.request.camera_info.D.resize(5, 0.0);
			s.request.camera_info.distortion_model =
					sensor_msgs::distortion_models::PLUMB_BOB;

			// Simple camera matrix: square pixels (fx = fy), principal point at center
			s.request.camera_info.K.assign(0.0);
			s.request.camera_info.K[0] = s.request.camera_info.K[4] =
					intrinsics[0];
			s.request.camera_info.K[2] = intrinsics[1];
			s.request.camera_info.K[5] = intrinsics[2];
			s.request.camera_info.K[8] = 1.0;

			// No separate rectified image plane, so R = I
			s.request.camera_info.R.assign(0.0);
			s.request.camera_info.R[0] = s.request.camera_info.R[4] =
					s.request.camera_info.R[8] = 1.0;

			// Then P=K(I|0) = (K|0)
			s.request.camera_info.P.assign(0.0);
			s.request.camera_info.P[0] = s.request.camera_info.P[5] =
					s.request.camera_info.K[0]; // fx, fy
			s.request.camera_info.P[2] = s.request.camera_info.K[2]; // cx
			s.request.camera_info.P[6] = s.request.camera_info.K[5]; // cy
			s.request.camera_info.P[10] = 1.0;

			set_camera_info_service.call(s);

			memcpy(update_map_msg.request.intrinsics.data(), intrinsics.data(),
					3 * sizeof(float));
		} else {
			update_map_msg.request.intrinsics = { {0,0,0}};
		}

		for (size_t i = 0; i < map->frames.size(); i++) {
			update_map_msg.request.idx[i] = map->idx[i];

			Sophus::SE3f position = map->frames[i]->get_pos();

			memcpy(update_map_msg.request.transform[i].unit_quaternion.data(),
					position.unit_quaternion().coeffs().data(),
					4 * sizeof(float));

			memcpy(update_map_msg.request.transform[i].position.data(),
					position.translation().data(), 3 * sizeof(float));

		}

		update_map_service.call(update_map_msg);

	}