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+// Copyright (c) 2007, 2008, 2011 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.
+
+#ifndef LIBMV_MULTIVIEW_FUNDAMENTAL_H_
+#define LIBMV_MULTIVIEW_FUNDAMENTAL_H_
+
+#include <vector>
+
+#include "libmv/numeric/numeric.h"
+
+namespace libmv {
+
+void ProjectionsFromFundamental(const Mat3 &F, Mat34 *P1, Mat34 *P2);
+void FundamentalFromProjections(const Mat34 &P1, const Mat34 &P2, Mat3 *F);
+
+/**
+ * 7 points (minimal case, points coordinates must be normalized before):
+ */
+double FundamentalFrom7CorrespondencesLinear(const Mat &x1,
+ const Mat &x2,
+ std::vector<Mat3> *F);
+
+/**
+ * 7 points (points coordinates must be in image space):
+ */
+double FundamentalFromCorrespondences7Point(const Mat &x1,
+ const Mat &x2,
+ std::vector<Mat3> *F);
+
+/**
+ * 8 points (points coordinates must be in image space):
+ */
+double NormalizedEightPointSolver(const Mat &x1,
+ const Mat &x2,
+ Mat3 *F);
+
+/**
+ * Fundamental matrix utility function:
+ */
+void EnforceFundamentalRank2Constraint(Mat3 *F);
+
+void NormalizeFundamental(const Mat3 &F, Mat3 *F_normalized);
+
+/**
+ * Approximate squared reprojection errror.
+ *
+ * See page 287 of HZ equation 11.9. This avoids triangulating the point,
+ * relying only on the entries in F.
+ */
+double SampsonDistance(const Mat &F, const Vec2 &x1, const Vec2 &x2);
+
+/**
+ * Calculates the sum of the distances from the points to the epipolar lines.
+ *
+ * See page 288 of HZ equation 11.10.
+ */
+double SymmetricEpipolarDistance(const Mat &F, const Vec2 &x1, const Vec2 &x2);
+
+/**
+ * Compute the relative camera motion between two cameras.
+ *
+ * Given the motion parameters of two cameras, computes the motion parameters
+ * of the second one assuming the first one to be at the origin.
+ * If T1 and T2 are the camera motions, the computed relative motion is
+ * T = T2 T1^{-1}
+ */
+void RelativeCameraMotion(const Mat3 &R1,
+ const Vec3 &t1,
+ const Mat3 &R2,
+ const Vec3 &t2,
+ Mat3 *R,
+ Vec3 *t);
+
+void EssentialFromFundamental(const Mat3 &F,
+ const Mat3 &K1,
+ const Mat3 &K2,
+ Mat3 *E);
+
+void FundamentalFromEssential(const Mat3 &E,
+ const Mat3 &K1,
+ const Mat3 &K2,
+ Mat3 *F);
+
+void EssentialFromRt(const Mat3 &R1,
+ const Vec3 &t1,
+ const Mat3 &R2,
+ const Vec3 &t2,
+ Mat3 *E);
+
+void MotionFromEssential(const Mat3 &E,
+ std::vector<Mat3> *Rs,
+ std::vector<Vec3> *ts);
+
+/**
+ * Choose one of the four possible motion solutions from an essential matrix.
+ *
+ * Decides the right solution by checking that the triangulation of a match
+ * x1--x2 lies in front of the cameras. See HZ 9.6 pag 259 (9.6.3 Geometrical
+ * interpretation of the 4 solutions)
+ *
+ * \return index of the right solution or -1 if no solution.
+ */
+int MotionFromEssentialChooseSolution(const std::vector<Mat3> &Rs,
+ const std::vector<Vec3> &ts,
+ const Mat3 &K1,
+ const Vec2 &x1,
+ const Mat3 &K2,
+ const Vec2 &x2);
+
+bool MotionFromEssentialAndCorrespondence(const Mat3 &E,
+ const Mat3 &K1,
+ const Vec2 &x1,
+ const Mat3 &K2,
+ const Vec2 &x2,
+ Mat3 *R,
+ Vec3 *t);
+
+/**
+ * Find closest essential matrix E to fundamental F
+ */
+void FundamentalToEssential(const Mat3 &F, Mat3 *E);
+
+/**
+ * This structure contains options that controls how the fundamental
+ * estimation operates.
+ *
+ * Defaults should be suitable for a wide range of use cases, but
+ * better performance and accuracy might require tweaking/
+ */
+struct EstimateFundamentalOptions {
+ // Default constructor which sets up a options for generic usage.
+ EstimateFundamentalOptions(void);
+
+ // Maximal number of iterations for refinement step.
+ int max_num_iterations;
+
+ // Expected average of symmetric epipolar distance between
+ // actual destination points and original ones transformed by
+ // estimated fundamental matrix.
+ //
+ // Refinement will finish as soon as average of symmetric
+ // epipolar distance is less or equal to this value.
+ //
+ // This distance is measured in the same units as input points are.
+ double expected_average_symmetric_distance;
+};
+
+/**
+ * Fundamental transformation estimation.
+ *
+ * This function estimates the fundamental transformation from a list of 2D
+ * correspondences by doing algebraic estimation first followed with result
+ * refinement.
+ */
+bool EstimateFundamentalFromCorrespondences(
+ const Mat &x1,
+ const Mat &x2,
+ const EstimateFundamentalOptions &options,
+ Mat3 *F);
+
+} // namespace libmv
+
+#endif // LIBMV_MULTIVIEW_FUNDAMENTAL_H_