| // Ceres Solver - A fast non-linear least squares minimizer | |
| // Copyright 2015 Google Inc. All rights reserved. | |
| // http://ceres-solver.org/ | |
| // | |
| // Redistribution and use in source and binary forms, with or without | |
| // modification, are permitted provided that the following conditions are met: | |
| // | |
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| // this list of conditions and the following disclaimer in the documentation | |
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| // specific prior written permission. | |
| // | |
| // THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" | |
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| // | |
| // Author: sameeragarwal@google.com (Sameer Agarwal) | |
| // | |
| // Class for loading and holding in memory bundle adjustment problems | |
| // from the BAL (Bundle Adjustment in the Large) dataset from the | |
| // University of Washington. | |
| // | |
| // For more details see http://grail.cs.washington.edu/projects/bal/ | |
| #ifndef CERES_EXAMPLES_BAL_PROBLEM_H_ | |
| #define CERES_EXAMPLES_BAL_PROBLEM_H_ | |
| #include <string> | |
| namespace ceres { | |
| namespace examples { | |
| class BALProblem { | |
| public: | |
| explicit BALProblem(const std::string& filename, bool use_quaternions); | |
| ~BALProblem(); | |
| void WriteToFile(const std::string& filename) const; | |
| void WriteToPLYFile(const std::string& filename) const; | |
| // Move the "center" of the reconstruction to the origin, where the | |
| // center is determined by computing the marginal median of the | |
| // points. The reconstruction is then scaled so that the median | |
| // absolute deviation of the points measured from the origin is | |
| // 100.0. | |
| // | |
| // The reprojection error of the problem remains the same. | |
| void Normalize(); | |
| // Perturb the camera pose and the geometry with random normal | |
| // numbers with corresponding standard deviations. | |
| void Perturb(const double rotation_sigma, | |
| const double translation_sigma, | |
| const double point_sigma); | |
| int camera_block_size() const { return use_quaternions_ ? 10 : 9; } | |
| int point_block_size() const { return 3; } | |
| int num_cameras() const { return num_cameras_; } | |
| int num_points() const { return num_points_; } | |
| int num_observations() const { return num_observations_; } | |
| int num_parameters() const { return num_parameters_; } | |
| const int* point_index() const { return point_index_; } | |
| const int* camera_index() const { return camera_index_; } | |
| const double* observations() const { return observations_; } | |
| const double* parameters() const { return parameters_; } | |
| const double* cameras() const { return parameters_; } | |
| double* mutable_cameras() { return parameters_; } | |
| double* mutable_points() { | |
| return parameters_ + camera_block_size() * num_cameras_; | |
| } | |
| private: | |
| void CameraToAngleAxisAndCenter(const double* camera, | |
| double* angle_axis, | |
| double* center) const; | |
| void AngleAxisAndCenterToCamera(const double* angle_axis, | |
| const double* center, | |
| double* camera) const; | |
| int num_cameras_; | |
| int num_points_; | |
| int num_observations_; | |
| int num_parameters_; | |
| bool use_quaternions_; | |
| int* point_index_; | |
| int* camera_index_; | |
| double* observations_; | |
| // The parameter vector is laid out as follows | |
| // [camera_1, ..., camera_n, point_1, ..., point_m] | |
| double* parameters_; | |
| }; | |
| } // namespace examples | |
| } // namespace ceres | |
| #endif // CERES_EXAMPLES_BAL_PROBLEM_H_ |