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Diffstat (limited to 'intern/libmv/libmv/simple_pipeline/distortion_models.cc')
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diff --git a/intern/libmv/libmv/simple_pipeline/distortion_models.cc b/intern/libmv/libmv/simple_pipeline/distortion_models.cc
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+// Copyright (c) 2014 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/simple_pipeline/distortion_models.h"
+#include "libmv/numeric/levenberg_marquardt.h"
+
+namespace libmv {
+
+namespace {
+
+struct InvertPolynomialIntrinsicsCostFunction {
+ public:
+ typedef Vec2 FMatrixType;
+ typedef Vec2 XMatrixType;
+
+ InvertPolynomialIntrinsicsCostFunction(const double focal_length_x,
+ const double focal_length_y,
+ const double principal_point_x,
+ const double principal_point_y,
+ const double k1,
+ const double k2,
+ const double k3,
+ const double p1,
+ const double p2,
+ const double image_x,
+ const double image_y)
+ : focal_length_x_(focal_length_x),
+ focal_length_y_(focal_length_y),
+ principal_point_x_(principal_point_x),
+ principal_point_y_(principal_point_y),
+ k1_(k1), k2_(k2), k3_(k3),
+ p1_(p1), p2_(p2),
+ x_(image_x), y_(image_y) {}
+
+ Vec2 operator()(const Vec2 &u) const {
+ double xx, yy;
+
+ ApplyPolynomialDistortionModel(focal_length_x_,
+ focal_length_y_,
+ principal_point_x_,
+ principal_point_y_,
+ k1_, k2_, k3_,
+ p1_, p2_,
+ u(0), u(1),
+ &xx, &yy);
+
+ Vec2 fx;
+ fx << (xx - x_), (yy - y_);
+ return fx;
+ }
+ double focal_length_x_;
+ double focal_length_y_;
+ double principal_point_x_;
+ double principal_point_y_;
+ double k1_, k2_, k3_;
+ double p1_, p2_;
+ double x_, y_;
+};
+
+struct InvertDivisionIntrinsicsCostFunction {
+ public:
+ typedef Vec2 FMatrixType;
+ typedef Vec2 XMatrixType;
+
+ InvertDivisionIntrinsicsCostFunction(const double focal_length_x,
+ const double focal_length_y,
+ const double principal_point_x,
+ const double principal_point_y,
+ const double k1,
+ const double k2,
+ const double image_x,
+ const double image_y)
+ : focal_length_x_(focal_length_x),
+ focal_length_y_(focal_length_y),
+ principal_point_x_(principal_point_x),
+ principal_point_y_(principal_point_y),
+ k1_(k1), k2_(k2),
+ x_(image_x), y_(image_y) {}
+
+ Vec2 operator()(const Vec2 &u) const {
+ double xx, yy;
+
+ ApplyDivisionDistortionModel(focal_length_x_,
+ focal_length_y_,
+ principal_point_x_,
+ principal_point_y_,
+ k1_, k2_,
+ u(0), u(1),
+ &xx, &yy);
+
+ Vec2 fx;
+ fx << (xx - x_), (yy - y_);
+ return fx;
+ }
+ double focal_length_x_;
+ double focal_length_y_;
+ double principal_point_x_;
+ double principal_point_y_;
+ double k1_, k2_;
+ double x_, y_;
+};
+
+} // namespace
+
+void InvertPolynomialDistortionModel(const double focal_length_x,
+ const double focal_length_y,
+ const double principal_point_x,
+ const double principal_point_y,
+ const double k1,
+ const double k2,
+ const double k3,
+ const double p1,
+ const double p2,
+ const double image_x,
+ const double image_y,
+ double *normalized_x,
+ double *normalized_y) {
+ // Compute the initial guess. For a camera with no distortion, this will also
+ // be the final answer; the LM iteration will terminate immediately.
+ Vec2 normalized;
+ normalized(0) = (image_x - principal_point_x) / focal_length_x;
+ normalized(1) = (image_y - principal_point_y) / focal_length_y;
+
+ typedef LevenbergMarquardt<InvertPolynomialIntrinsicsCostFunction> Solver;
+
+ InvertPolynomialIntrinsicsCostFunction intrinsics_cost(focal_length_x,
+ focal_length_y,
+ principal_point_x,
+ principal_point_y,
+ k1, k2, k3,
+ p1, p2,
+ image_x, image_y);
+ Solver::SolverParameters params;
+ Solver solver(intrinsics_cost);
+
+ /*Solver::Results results =*/ solver.minimize(params, &normalized);
+
+ // TODO(keir): Better error handling.
+
+ *normalized_x = normalized(0);
+ *normalized_y = normalized(1);
+}
+
+void InvertDivisionDistortionModel(const double focal_length_x,
+ const double focal_length_y,
+ const double principal_point_x,
+ const double principal_point_y,
+ const double k1,
+ const double k2,
+ const double image_x,
+ const double image_y,
+ double *normalized_x,
+ double *normalized_y) {
+ // Compute the initial guess. For a camera with no distortion, this will also
+ // be the final answer; the LM iteration will terminate immediately.
+ Vec2 normalized;
+ normalized(0) = (image_x - principal_point_x) / focal_length_x;
+ normalized(1) = (image_y - principal_point_y) / focal_length_y;
+
+ // TODO(sergey): Use Ceres minimizer instead.
+ typedef LevenbergMarquardt<InvertDivisionIntrinsicsCostFunction> Solver;
+
+ InvertDivisionIntrinsicsCostFunction intrinsics_cost(focal_length_x,
+ focal_length_y,
+ principal_point_x,
+ principal_point_y,
+ k1, k2,
+ image_x, image_y);
+ Solver::SolverParameters params;
+ Solver solver(intrinsics_cost);
+
+ /*Solver::Results results =*/ solver.minimize(params, &normalized);
+
+ // TODO(keir): Better error handling.
+
+ *normalized_x = normalized(0);
+ *normalized_y = normalized(1);
+}
+
+} // namespace libmv