| // 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: |
| // |
| // * 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 Google Inc. 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 |
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| // |
| // Author: sameeragarwal@google.com (Sameer Agarwal) |
| // |
| // Class definition for the object that is responsible for applying a |
| // second order correction to the Gauss-Newton based on the ideas in |
| // BANS by Triggs et al. |
| |
| #ifndef CERES_INTERNAL_CORRECTOR_H_ |
| #define CERES_INTERNAL_CORRECTOR_H_ |
| |
| namespace ceres { |
| namespace internal { |
| |
| // Corrector is responsible for applying the second order correction |
| // to the residual and jacobian of a least squares problem based on a |
| // radial robust loss. |
| // |
| // The key idea here is to look at the expressions for the robustified |
| // gauss newton approximation and then take its square root to get the |
| // corresponding corrections to the residual and jacobian. For the |
| // full expressions see Eq. 10 and 11 in BANS by Triggs et al. |
| class Corrector { |
| public: |
| // The constructor takes the squared norm, the value, the first and |
| // second derivatives of the LossFunction. It precalculates some of |
| // the constants that are needed to apply the correction. The |
| // correction constant alpha is constrained to be smaller than 1, if |
| // it becomes larger than 1, then it will reverse the sign of the |
| // residual and the correction. If alpha is equal to 1 will result |
| // in a divide by zero error. Thus we constrain alpha to be upper |
| // bounded by 1 - epsilon_. |
| // |
| // rho[1] needs to be positive. The constructor will crash if this |
| // condition is not met. |
| // |
| // In practical use CorrectJacobian should always be called before |
| // CorrectResidual, because the jacobian correction depends on the |
| // value of the uncorrected residual values. |
| explicit Corrector(double sq_norm, const double rho[3]); |
| |
| // residuals *= sqrt(rho[1]) / (1 - alpha) |
| void CorrectResiduals(int num_rows, double* residuals); |
| |
| // jacobian = sqrt(rho[1]) * jacobian - |
| // sqrt(rho[1]) * alpha / sq_norm * residuals residuals' * jacobian. |
| // |
| // The method assumes that the jacobian has row-major storage. It is |
| // the caller's responsibility to ensure that the pointer to |
| // jacobian is not null. |
| void CorrectJacobian(int num_rows, |
| int num_cols, |
| double* residuals, |
| double* jacobian); |
| |
| private: |
| double sqrt_rho1_; |
| double residual_scaling_; |
| double alpha_sq_norm_; |
| }; |
| } // namespace internal |
| } // namespace ceres |
| |
| #endif // CERES_INTERNAL_CORRECTOR_H_ |