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/ 4 // 5 // Redistribution and use in source and binary forms, with or without 6 // modification, are permitted provided that the following conditions are met: 7 // 8 // * Redistributions of source code must retain the above copyright notice, 9 // this list of conditions and the following disclaimer. 10 // * Redistributions in binary form must reproduce the above copyright notice, 11 // this list of conditions and the following disclaimer in the documentation 12 // and/or other materials provided with the distribution. 13 // * Neither the name of Google Inc. nor the names of its contributors may be 14 // used to endorse or promote products derived from this software without 15 // specific prior written permission. 16 // 17 // THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" 18 // AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE 19 // IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE 20 // ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE 21 // LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR 22 // CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF 23 // SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS 24 // INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN 25 // CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) 26 // ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE 27 // POSSIBILITY OF SUCH DAMAGE. 28 // 29 // Author: wjr (at) google.com (William Rucklidge) 30 // 31 // This file contains the implementation of the conditioned cost function. 32 33 #include "ceres/conditioned_cost_function.h" 34 35 #include <cstddef> 36 37 #include "ceres/internal/eigen.h" 38 #include "ceres/stl_util.h" 39 #include "ceres/types.h" 40 #include "glog/logging.h" 41 42 namespace ceres { 43 44 // This cost function has the same dimensions (parameters, residuals) as 45 // the one it's wrapping. 46 ConditionedCostFunction::ConditionedCostFunction( 47 CostFunction* wrapped_cost_function, 48 const vector<CostFunction*>& conditioners, 49 Ownership ownership) 50 : wrapped_cost_function_(wrapped_cost_function), 51 conditioners_(conditioners), 52 ownership_(ownership) { 53 // Set up our dimensions. 54 set_num_residuals(wrapped_cost_function_->num_residuals()); 55 *mutable_parameter_block_sizes() = 56 wrapped_cost_function_->parameter_block_sizes(); 57 58 // Sanity-check the conditioners' dimensions. 59 CHECK_EQ(wrapped_cost_function_->num_residuals(), conditioners_.size()); 60 for (int i = 0; i < wrapped_cost_function_->num_residuals(); i++) { 61 if (conditioners[i]) { 62 CHECK_EQ(1, conditioners[i]->num_residuals()); 63 CHECK_EQ(1, conditioners[i]->parameter_block_sizes().size()); 64 CHECK_EQ(1, conditioners[i]->parameter_block_sizes()[0]); 65 } 66 } 67 } 68 69 ConditionedCostFunction::~ConditionedCostFunction() { 70 if (ownership_ == TAKE_OWNERSHIP) { 71 STLDeleteElements(&conditioners_); 72 } else { 73 wrapped_cost_function_.release(); 74 } 75 } 76 77 bool ConditionedCostFunction::Evaluate(double const* const* parameters, 78 double* residuals, 79 double** jacobians) const { 80 bool success = wrapped_cost_function_->Evaluate(parameters, residuals, 81 jacobians); 82 if (!success) { 83 return false; 84 } 85 86 for (int r = 0; r < wrapped_cost_function_->num_residuals(); r++) { 87 // On output, we want to have 88 // residuals[r] = conditioners[r](wrapped_residuals[r]) 89 // For parameter block i, column c, 90 // jacobians[i][r*parameter_block_size_[i] + c] = 91 // = d residual[r] / d parameters[i][c] 92 // = conditioners[r]'(wrapped_residuals[r]) * 93 // d wrapped_residuals[r] / d parameters[i][c] 94 if (conditioners_[r]) { 95 double conditioner_derivative; 96 double* conditioner_derivative_pointer = &conditioner_derivative; 97 double** conditioner_derivative_pointer2 = 98 &conditioner_derivative_pointer; 99 if (!jacobians) { 100 conditioner_derivative_pointer2 = NULL; 101 } 102 103 double unconditioned_residual = residuals[r]; 104 double* parameter_pointer = &unconditioned_residual; 105 success = conditioners_[r]->Evaluate(¶meter_pointer, 106 &residuals[r], 107 conditioner_derivative_pointer2); 108 if (!success) { 109 return false; 110 } 111 112 if (jacobians) { 113 for (int i = 0; 114 i < wrapped_cost_function_->parameter_block_sizes().size(); 115 i++) { 116 if (jacobians[i]) { 117 int parameter_block_size = 118 wrapped_cost_function_->parameter_block_sizes()[i]; 119 VectorRef jacobian_row(jacobians[i] + r * parameter_block_size, 120 parameter_block_size, 1); 121 jacobian_row *= conditioner_derivative; 122 } 123 } 124 } 125 } 126 } 127 return true; 128 } 129 130 } // namespace ceres 131