1 // Ceres Solver - A fast non-linear least squares minimizer
2 // Copyright 2010, 2011, 2012 Google Inc. All rights reserved.
3 // http://code.google.com/p/ceres-solver/
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28 //
29 // Author: sameeragarwal@google.com (Sameer Agarwal)
30 //
31 // Class for loading and holding in memory bundle adjustment problems
32 // from the BAL (Bundle Adjustment in the Large) dataset from the
33 // University of Washington.
34 //
35 // For more details see http://grail.cs.washington.edu/projects/bal/
36 
37 #ifndef CERES_EXAMPLES_BAL_PROBLEM_H_
38 #define CERES_EXAMPLES_BAL_PROBLEM_H_
39 
40 #include <string>
41 
42 namespace ceres {
43 namespace examples {
44 
45 class BALProblem {
46  public:
47   explicit BALProblem(const std::string& filename, bool use_quaternions);
48   ~BALProblem();
49 
50   void WriteToFile(const std::string& filename) const;
51 
52   // Move the "center" of the reconstruction to the origin, where the
53   // center is determined by computing the marginal median of the
54   // points. The reconstruction is then scaled so that the median
55   // absolute deviation of the points measured from the origin is
56   // 100.0.
57   //
58   // The reprojection error of the problem remains the same.
59   void Normalize();
60 
61   // Perturb the camera pose and the geometry with random normal
62   // numbers with corresponding standard deviations.
63   void Perturb(const double rotation_sigma,
64                const double translation_sigma,
65                const double point_sigma);
66 
camera_block_size()67   int camera_block_size()      const { return use_quaternions_ ? 10 : 9; }
point_block_size()68   int point_block_size()       const { return 3;                         }
num_cameras()69   int num_cameras()            const { return num_cameras_;              }
num_points()70   int num_points()             const { return num_points_;               }
num_observations()71   int num_observations()       const { return num_observations_;         }
num_parameters()72   int num_parameters()         const { return num_parameters_;           }
point_index()73   const int* point_index()     const { return point_index_;              }
camera_index()74   const int* camera_index()    const { return camera_index_;             }
observations()75   const double* observations() const { return observations_;             }
parameters()76   const double* parameters()   const { return parameters_;               }
mutable_cameras()77   double* mutable_cameras()          { return parameters_;               }
mutable_points()78   double* mutable_points() {
79     return parameters_  + camera_block_size() * num_cameras_;
80   }
81 
82  private:
83   void CameraToAngleAxisAndCenter(const double* camera,
84                                   double* angle_axis,
85                                   double* center);
86 
87   void AngleAxisAndCenterToCamera(const double* angle_axis,
88                                   const double* center,
89                                   double* camera);
90   int num_cameras_;
91   int num_points_;
92   int num_observations_;
93   int num_parameters_;
94   bool use_quaternions_;
95 
96   int* point_index_;
97   int* camera_index_;
98   double* observations_;
99   // The parameter vector is laid out as follows
100   // [camera_1, ..., camera_n, point_1, ..., point_m]
101   double* parameters_;
102 };
103 
104 }  // namespace examples
105 }  // namespace ceres
106 
107 #endif  // CERES_EXAMPLES_BAL_PROBLEM_H_
108