| 7 | namespace glomap { |
| 8 | |
| 9 | bool BundleAdjuster::Solve(const ViewGraph& view_graph, |
| 10 | std::unordered_map<camera_t, Camera>& cameras, |
| 11 | std::unordered_map<image_t, Image>& images, |
| 12 | std::unordered_map<track_t, Track>& tracks) { |
| 13 | // Check if the input data is valid |
| 14 | if (images.empty()) { |
| 15 | LOG(ERROR) << "Number of images = " << images.size(); |
| 16 | return false; |
| 17 | } |
| 18 | if (tracks.empty()) { |
| 19 | LOG(ERROR) << "Number of tracks = " << tracks.size(); |
| 20 | return false; |
| 21 | } |
| 22 | |
| 23 | // Reset the problem |
| 24 | Reset(); |
| 25 | |
| 26 | // Add the constraints that the point tracks impose on the problem |
| 27 | AddPointToCameraConstraints(view_graph, cameras, images, tracks); |
| 28 | |
| 29 | // Add the cameras and points to the parameter groups for schur-based |
| 30 | // optimization |
| 31 | AddCamerasAndPointsToParameterGroups(cameras, images, tracks); |
| 32 | |
| 33 | // Parameterize the variables |
| 34 | ParameterizeVariables(cameras, images, tracks); |
| 35 | |
| 36 | // Set the solver options. |
| 37 | ceres::Solver::Summary summary; |
| 38 | |
| 39 | // Do not use the iterative solver, as it does not seem to be helpful |
| 40 | options_.solver_options.linear_solver_type = ceres::SPARSE_SCHUR; |
| 41 | options_.solver_options.preconditioner_type = ceres::CLUSTER_TRIDIAGONAL; |
| 42 | |
| 43 | options_.solver_options.minimizer_progress_to_stdout = VLOG_IS_ON(2); |
| 44 | ceres::Solve(options_.solver_options, problem_.get(), &summary); |
| 45 | if (VLOG_IS_ON(2)) |
| 46 | LOG(INFO) << summary.FullReport(); |
| 47 | else |
| 48 | LOG(INFO) << summary.BriefReport(); |
| 49 | |
| 50 | return summary.IsSolutionUsable(); |
| 51 | } |
| 52 | |
| 53 | void BundleAdjuster::Reset() { |
| 54 | ceres::Problem::Options problem_options; |
no outgoing calls
no test coverage detected