// Ceres Solver - A fast non-linear least squares minimizer // Copyright 2019 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 // ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE // LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR // CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF // SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS // INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN // CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) // ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE // POSSIBILITY OF SUCH DAMAGE. // // Author: wjr@google.com (William Rucklidge) // // This file contains a cost function that can apply a transformation to // each residual value before they are square-summed. #ifndef CERES_PUBLIC_CONDITIONED_COST_FUNCTION_H_ #define CERES_PUBLIC_CONDITIONED_COST_FUNCTION_H_ #include #include #include "ceres/cost_function.h" #include "ceres/internal/disable_warnings.h" #include "ceres/types.h" namespace ceres { // This class allows you to apply different conditioning to the residual // values of a wrapped cost function. An example where this is useful is // where you have an existing cost function that produces N values, but you // want the total cost to be something other than just the sum of these // squared values - maybe you want to apply a different scaling to some // values, to change their contribution to the cost. // // Usage: // // // my_cost_function produces N residuals // CostFunction* my_cost_function = ... // CHECK_EQ(N, my_cost_function->num_residuals()); // vector conditioners; // // // Make N 1x1 cost functions (1 parameter, 1 residual) // CostFunction* f_1 = ... // conditioners.push_back(f_1); // ... // CostFunction* f_N = ... // conditioners.push_back(f_N); // ConditionedCostFunction* ccf = // new ConditionedCostFunction(my_cost_function, conditioners); // // Now ccf's residual i (i=0..N-1) will be passed though the i'th conditioner. // // ccf_residual[i] = f_i(my_cost_function_residual[i]) // // and the Jacobian will be affected appropriately. class CERES_EXPORT ConditionedCostFunction : public CostFunction { public: // Builds a cost function based on a wrapped cost function, and a // per-residual conditioner. Takes ownership of all of the wrapped cost // functions, or not, depending on the ownership parameter. Conditioners // may be NULL, in which case the corresponding residual is not modified. // // The conditioners can repeat. ConditionedCostFunction(CostFunction* wrapped_cost_function, const std::vector& conditioners, Ownership ownership); virtual ~ConditionedCostFunction(); bool Evaluate(double const* const* parameters, double* residuals, double** jacobians) const override; private: std::unique_ptr wrapped_cost_function_; std::vector conditioners_; Ownership ownership_; }; } // namespace ceres #include "ceres/internal/reenable_warnings.h" #endif // CERES_PUBLIC_CONDITIONED_COST_FUNCTION_H_