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- // David Eberly, Geometric Tools, Redmond WA 98052
- // Copyright (c) 1998-2020
- // Distributed under the Boost Software License, Version 1.0.
- // https://www.boost.org/LICENSE_1_0.txt
- // https://www.geometrictools.com/License/Boost/LICENSE_1_0.txt
- // Version: 4.0.2019.08.13
- #pragma once
- #include <Mathematics/ApprQuery.h>
- #include <Mathematics/Line.h>
- #include <Mathematics/SymmetricEigensolver2x2.h>
- #include <Mathematics/Vector2.h>
- // Least-squares fit of a line to (x,y) data by using distance measurements
- // orthogonal to the proposed line. The return value is 'true' if and only
- // if the fit is unique (always successful, 'true' when a minimum eigenvalue
- // is unique). The mParameters value is a line with (P,D) =
- // (origin,direction). The error for S = (x0,y0) is (S-P)^T*(I - D*D^T)*(S-P).
- namespace WwiseGTE
- {
- template <typename Real>
- class ApprOrthogonalLine2 : public ApprQuery<Real, Vector2<Real>>
- {
- public:
- // Initialize the model parameters to zero.
- ApprOrthogonalLine2()
- :
- mParameters(Vector2<Real>::Zero(), Vector2<Real>::Zero())
- {
- }
- // Basic fitting algorithm. See ApprQuery.h for the various Fit(...)
- // functions that you can call.
- virtual bool FitIndexed(
- size_t numPoints, Vector2<Real> const* points,
- size_t numIndices, int const* indices) override
- {
- if (this->ValidIndices(numPoints, points, numIndices, indices))
- {
- // Compute the mean of the points.
- Vector2<Real> mean = Vector2<Real>::Zero();
- int const* currentIndex = indices;
- for (size_t i = 0; i < numIndices; ++i)
- {
- mean += points[*currentIndex++];
- }
- mean /= (Real)numIndices;
- if (std::isfinite(mean[0]) && std::isfinite(mean[1]))
- {
- // Compute the covariance matrix of the points.
- Real covar00 = (Real)0, covar01 = (Real)0, covar11 = (Real)0;
- currentIndex = indices;
- for (size_t i = 0; i < numIndices; ++i)
- {
- Vector2<Real> diff = points[*currentIndex++] - mean;
- covar00 += diff[0] * diff[0];
- covar01 += diff[0] * diff[1];
- covar11 += diff[1] * diff[1];
- }
- // Solve the eigensystem.
- SymmetricEigensolver2x2<Real> es;
- std::array<Real, 2> eval;
- std::array<std::array<Real, 2>, 2> evec;
- es(covar00, covar01, covar11, +1, eval, evec);
- // The line direction is the eigenvector in the direction
- // of largest variance of the points.
- mParameters.origin = mean;
- mParameters.direction = evec[1];
- // The fitted line is unique when the maximum eigenvalue
- // has multiplicity 1.
- return eval[0] < eval[1];
- }
- }
- mParameters = Line2<Real>(Vector2<Real>::Zero(), Vector2<Real>::Zero());
- return false;
- }
- // Get the parameters for the best fit.
- Line2<Real> const& GetParameters() const
- {
- return mParameters;
- }
- virtual size_t GetMinimumRequired() const override
- {
- return 2;
- }
- virtual Real Error(Vector2<Real> const& point) const override
- {
- Vector2<Real> diff = point - mParameters.origin;
- Real sqrlen = Dot(diff, diff);
- Real dot = Dot(diff, mParameters.direction);
- Real error = std::fabs(sqrlen - dot * dot);
- return error;
- }
- virtual void CopyParameters(ApprQuery<Real, Vector2<Real>> const* input) override
- {
- auto source = dynamic_cast<ApprOrthogonalLine2<Real> const*>(input);
- if (source)
- {
- *this = *source;
- }
- }
- private:
- Line2<Real> mParameters;
- };
- }
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