// Copyright (c) 2010 libmv authors. // // Permission is hereby granted, free of charge, to any person obtaining a copy // of this software and associated documentation files (the "Software"), to // deal in the Software without restriction, including without limitation the // rights to use, copy, modify, merge, publish, distribute, sublicense, and/or // sell copies of the Software, and to permit persons to whom the Software is // furnished to do so, subject to the following conditions: // // The above copyright notice and this permission notice shall be included in // all copies or substantial portions of the Software. // // THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR // IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, // FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE // AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER // LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING // FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS // IN THE SOFTWARE. #include "libmv/multiview/conditioning.h" #include "libmv/multiview/projection.h" namespace libmv { // HZ 4.4.4 pag.109: Point conditioning (non isotropic) void PreconditionerFromPoints(const Mat &points, Mat3 *T) { Vec mean, variance; MeanAndVarianceAlongRows(points, &mean, &variance); double xfactor = sqrt(2.0 / variance(0)); double yfactor = sqrt(2.0 / variance(1)); // If variance is equal to 0.0 set scaling factor to identity. // -> Else it will provide nan value (because division by 0). if (variance(0) < 1e-8) xfactor = mean(0) = 1.0; if (variance(1) < 1e-8) yfactor = mean(1) = 1.0; *T << xfactor, 0, -xfactor * mean(0), 0, yfactor, -yfactor * mean(1), 0, 0, 1; } // HZ 4.4.4 pag.107: Point conditioning (isotropic) void IsotropicPreconditionerFromPoints(const Mat &points, Mat3 *T) { Vec mean, variance; MeanAndVarianceAlongRows(points, &mean, &variance); double var_norm = variance.norm(); double factor = sqrt(2.0 / var_norm); // If variance is equal to 0.0 set scaling factor to identity. // -> Else it will provide nan value (because division by 0). if (var_norm < 1e-8) { factor = 1.0; mean.setOnes(); } *T << factor, 0, -factor * mean(0), 0, factor, -factor * mean(1), 0, 0, 1; } void ApplyTransformationToPoints(const Mat &points, const Mat3 &T, Mat *transformed_points) { int n = points.cols(); transformed_points->resize(2, n); Mat3X p(3, n); EuclideanToHomogeneous(points, &p); p = T * p; HomogeneousToEuclidean(p, transformed_points); } void NormalizePoints(const Mat &points, Mat *normalized_points, Mat3 *T) { PreconditionerFromPoints(points, T); ApplyTransformationToPoints(points, *T, normalized_points); } void NormalizeIsotropicPoints(const Mat &points, Mat *normalized_points, Mat3 *T) { IsotropicPreconditionerFromPoints(points, T); ApplyTransformationToPoints(points, *T, normalized_points); } // Denormalize the results. See HZ page 109. void UnnormalizerT::Unnormalize(const Mat3 &T1, const Mat3 &T2, Mat3 *H) { *H = T2.transpose() * (*H) * T1; } void UnnormalizerI::Unnormalize(const Mat3 &T1, const Mat3 &T2, Mat3 *H) { *H = T2.inverse() * (*H) * T1; } } // namespace libmv