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117 lines
4.2 KiB
117 lines
4.2 KiB
3 months ago
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// David Eberly, Geometric Tools, Redmond WA 98052
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// Copyright (c) 1998-2021
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// Distributed under the Boost Software License, Version 1.0.
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// https://www.boost.org/LICENSE_1_0.txt
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// https://www.geometrictools.com/License/Boost/LICENSE_1_0.txt
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// Version: 4.0.2020.07.20
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#pragma once
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#include <Mathematics/ApprQuery.h>
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#include <Mathematics/Vector3.h>
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// Least-squares fit of a plane to height data (x,y,f(x,y)). The plane is of
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// the form (z - zAvr) = a*(x - xAvr) + b*(y - yAvr), where (xAvr,yAvr,zAvr)
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// is the average of the sample points. The return value is 'true' if and
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// only the if fit is successful (the input points are noncollinear). The
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// mParameters values are ((xAvr,yAvr,zAvr),(a,b,-1)) on success and
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// ((0,0,0),(0,0,0)) on failure. The error for (x0,y0,z0) is
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// [a*(x0-xAvr)+b*(y0-yAvr)-(z0-zAvr)]^2.
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namespace gte
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{
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template <typename Real>
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class ApprHeightPlane3 : public ApprQuery<Real, Vector3<Real>>
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{
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public:
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// Initialize the model parameters to zero.
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ApprHeightPlane3()
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{
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mParameters.first = Vector3<Real>::Zero();
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mParameters.second = Vector3<Real>::Zero();
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}
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// Basic fitting algorithm. See ApprQuery.h for the various Fit(...)
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// functions that you can call.
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virtual bool FitIndexed(
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size_t numPoints, Vector3<Real> const* points,
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size_t numIndices, int const* indices) override
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{
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if (this->ValidIndices(numPoints, points, numIndices, indices))
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{
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// Compute the mean of the points.
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Vector3<Real> mean = Vector3<Real>::Zero();
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int const* currentIndex = indices;
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for (size_t i = 0; i < numIndices; ++i)
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{
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mean += points[*currentIndex++];
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}
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mean /= (Real)numIndices;
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if (std::isfinite(mean[0]) && std::isfinite(mean[1]))
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{
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// Compute the covariance matrix of the points.
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Real covar00 = (Real)0, covar01 = (Real)0, covar02 = (Real)0;
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Real covar11 = (Real)0, covar12 = (Real)0;
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currentIndex = indices;
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for (size_t i = 0; i < numIndices; ++i)
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{
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Vector3<Real> diff = points[*currentIndex++] - mean;
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covar00 += diff[0] * diff[0];
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covar01 += diff[0] * diff[1];
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covar02 += diff[0] * diff[2];
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covar11 += diff[1] * diff[1];
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covar12 += diff[1] * diff[2];
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}
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// Decompose the covariance matrix.
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Real det = covar00 * covar11 - covar01 * covar01;
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if (det != (Real)0)
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{
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Real invDet = (Real)1 / det;
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mParameters.first = mean;
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mParameters.second[0] = (covar11 * covar02 - covar01 * covar12) * invDet;
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mParameters.second[1] = (covar00 * covar12 - covar01 * covar02) * invDet;
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mParameters.second[2] = (Real)-1;
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return true;
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}
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}
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}
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mParameters.first = Vector3<Real>::Zero();
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mParameters.second = Vector3<Real>::Zero();
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return false;
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}
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// Get the parameters for the best fit.
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std::pair<Vector3<Real>, Vector3<Real>> const& GetParameters() const
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{
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return mParameters;
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}
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virtual size_t GetMinimumRequired() const override
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{
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return 3;
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}
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virtual Real Error(Vector3<Real> const& point) const override
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{
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Real d = Dot(point - mParameters.first, mParameters.second);
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Real error = d * d;
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return error;
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}
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virtual void CopyParameters(ApprQuery<Real, Vector3<Real>> const* input) override
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{
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auto source = dynamic_cast<ApprHeightPlane3<Real> const*>(input);
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if (source)
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{
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*this = *source;
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}
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}
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private:
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std::pair<Vector3<Real>, Vector3<Real>> mParameters;
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};
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}
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