| 123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687 | // Ceres Solver - A fast non-linear least squares minimizer// Copyright 2020 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: darius.rueckert@fau.de (Darius Rueckert)////#ifndef CERES_INTERNAL_AUTODIFF_BENCHMARK_SNAVELY_REPROJECTION_ERROR_H_#define CERES_INTERNAL_AUTODIFF_BENCHMARK_SNAVELY_REPROJECTION_ERROR_H_#include "ceres/rotation.h"namespace ceres {struct SnavelyReprojectionError {  SnavelyReprojectionError(double observed_x, double observed_y)      : observed_x(observed_x), observed_y(observed_y) {}  SnavelyReprojectionError() = default;  template <typename T>  inline bool operator()(const T* const camera,                         const T* const point,                         T* residuals) const {    T ox = T(observed_x);    T oy = T(observed_y);    // camera[0,1,2] are the angle-axis rotation.    T p[3];    ceres::AngleAxisRotatePoint(camera, point, p);    // camera[3,4,5] are the translation.    p[0] += camera[3];    p[1] += camera[4];    p[2] += camera[5];    // Compute the center of distortion. The sign change comes from    // the camera model that Noah Snavely's Bundler assumes, whereby    // the camera coordinate system has a negative z axis.    const T xp = -p[0] / p[2];    const T yp = -p[1] / p[2];    // Apply second and fourth order radial distortion.    const T& l1 = camera[7];    const T& l2 = camera[8];    const T r2 = xp * xp + yp * yp;    const T distortion = T(1.0) + r2 * (l1 + l2 * r2);    // Compute final projected point position.    const T& focal = camera[6];    const T predicted_x = focal * distortion * xp;    const T predicted_y = focal * distortion * yp;    // The error is the difference between the predicted and observed position.    residuals[0] = predicted_x - ox;    residuals[1] = predicted_y - oy;    return true;  }  double observed_x;  double observed_y;};}  // namespace ceres#endif  // CERES_INTERNAL_AUTODIFF_BENCHMARK_SNAVELY_REPROJECTION_ERROR_H_
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