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