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198 lines
7.2 KiB
198 lines
7.2 KiB
// 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: 4.0.2019.08.13
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#pragma once
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#include <Mathematics/ApprGaussian3.h>
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#include <Mathematics/Matrix3x3.h>
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#include <Mathematics/Rotation.h>
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namespace gte
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{
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// Compute an oriented bounding box of the points. The box center is the
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// average of the points. The box axes are the eigenvectors of the
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// covariance matrix.
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template <typename Real>
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bool GetContainer(int numPoints, Vector3<Real> const* points, OrientedBox3<Real>& box)
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{
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// Fit the points with a Gaussian distribution.
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ApprGaussian3<Real> fitter;
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if (fitter.Fit(numPoints, points))
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{
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box = fitter.GetParameters();
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// Let C be the box center and let U0, U1, and U2 be the box axes.
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// Each input point is of the form X = C + y0*U0 + y1*U1 + y2*U2.
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// The following code computes min(y0), max(y0), min(y1), max(y1),
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// min(y2), and max(y2). The box center is then adjusted to be
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// C' = C + 0.5*(min(y0)+max(y0))*U0 + 0.5*(min(y1)+max(y1))*U1
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// + 0.5*(min(y2)+max(y2))*U2
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Vector3<Real> diff = points[0] - box.center;
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Vector3<Real> pmin{ Dot(diff, box.axis[0]), Dot(diff, box.axis[1]),
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Dot(diff, box.axis[2]) };
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Vector3<Real> pmax = pmin;
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for (int i = 1; i < numPoints; ++i)
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{
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diff = points[i] - box.center;
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for (int j = 0; j < 3; ++j)
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{
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Real dot = Dot(diff, box.axis[j]);
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if (dot < pmin[j])
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{
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pmin[j] = dot;
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}
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else if (dot > pmax[j])
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{
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pmax[j] = dot;
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}
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}
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}
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for (int j = 0; j < 3; ++j)
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{
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box.center += ((Real)0.5 * (pmin[j] + pmax[j])) * box.axis[j];
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box.extent[j] = (Real)0.5 * (pmax[j] - pmin[j]);
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}
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return true;
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}
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return false;
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}
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template <typename Real>
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bool GetContainer(std::vector<Vector3<Real>> const& points, OrientedBox3<Real>& box)
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{
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return GetContainer(static_cast<int>(points.size()), points.data(), box);
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}
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// Test for containment. Let X = C + y0*U0 + y1*U1 + y2*U2 where C is the
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// box center and U0, U1, U2 are the orthonormal axes of the box. X is in
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// the box if |y_i| <= E_i for all i where E_i are the extents of the box.
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template <typename Real>
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bool InContainer(Vector3<Real> const& point, OrientedBox3<Real> const& box)
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{
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Vector3<Real> diff = point - box.center;
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for (int i = 0; i < 3; ++i)
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{
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Real coeff = Dot(diff, box.axis[i]);
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if (std::fabs(coeff) > box.extent[i])
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{
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return false;
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}
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}
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return true;
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}
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// Construct an oriented box that contains two other oriented boxes. The
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// result is not guaranteed to be the minimum volume box containing the
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// input boxes.
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template <typename Real>
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bool MergeContainers(OrientedBox3<Real> const& box0,
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OrientedBox3<Real> const& box1, OrientedBox3<Real>& merge)
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{
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// The first guess at the box center. This value will be updated
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// later after the input box vertices are projected onto axes
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// determined by an average of box axes.
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merge.center = (Real)0.5 * (box0.center + box1.center);
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// A box's axes, when viewed as the columns of a matrix, form a
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// rotation matrix. The input box axes are converted to quaternions.
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// The average quaternion is computed, then normalized to unit length.
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// The result is the slerp of the two input quaternions with t-value
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// of 1/2. The result is converted back to a rotation matrix and its
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// columns are selected as the merged box axes.
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//
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// TODO: When the GTL Lie Algebra code is posted, use the geodesic
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// path between the affine matrices formed by the box centers and
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// orientations. Choose t = 1/2 along that geodesic.
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Matrix3x3<Real> rot0, rot1;
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rot0.SetCol(0, box0.axis[0]);
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rot0.SetCol(1, box0.axis[1]);
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rot0.SetCol(2, box0.axis[2]);
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rot1.SetCol(0, box1.axis[0]);
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rot1.SetCol(1, box1.axis[1]);
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rot1.SetCol(2, box1.axis[2]);
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Quaternion<Real> q0 = Rotation<3, Real>(rot0);
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Quaternion<Real> q1 = Rotation<3, Real>(rot1);
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if (Dot(q0, q1) < (Real)0)
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{
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q1 = -q1;
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}
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Quaternion<Real> q = q0 + q1;
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Normalize(q);
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Matrix3x3<Real> rot = Rotation<3, Real>(q);
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for (int j = 0; j < 3; ++j)
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{
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merge.axis[j] = rot.GetCol(j);
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}
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// Project the input box vertices onto the merged-box axes. Each axis
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// D[i] containing the current center C has a minimum projected value
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// min[i] and a maximum projected value max[i]. The corresponding end
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// points on the axes are C+min[i]*D[i] and C+max[i]*D[i]. The point
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// C is not necessarily the midpoint for any of the intervals. The
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// actual box center will be adjusted from C to a point C' that is the
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// midpoint of each interval,
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// C' = C + sum_{i=0}^2 0.5*(min[i]+max[i])*D[i]
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// The box extents are
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// e[i] = 0.5*(max[i]-min[i])
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std::array<Vector3<Real>, 8> vertex;
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Vector3<Real> pmin{ (Real)0, (Real)0, (Real)0 };
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Vector3<Real> pmax{ (Real)0, (Real)0, (Real)0 };
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box0.GetVertices(vertex);
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for (int i = 0; i < 8; ++i)
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{
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Vector3<Real> diff = vertex[i] - merge.center;
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for (int j = 0; j < 3; ++j)
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{
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Real dot = Dot(diff, merge.axis[j]);
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if (dot > pmax[j])
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{
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pmax[j] = dot;
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}
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else if (dot < pmin[j])
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{
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pmin[j] = dot;
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}
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}
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}
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box1.GetVertices(vertex);
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for (int i = 0; i < 8; ++i)
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{
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Vector3<Real> diff = vertex[i] - merge.center;
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for (int j = 0; j < 3; ++j)
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{
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Real dot = Dot(diff, merge.axis[j]);
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if (dot > pmax[j])
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{
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pmax[j] = dot;
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}
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else if (dot < pmin[j])
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{
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pmin[j] = dot;
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}
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}
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}
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// [min,max] is the axis-aligned box in the coordinate system of the
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// merged box axes. Update the current box center to be the center of
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// the new box. Compute the extents based on the new center.
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Real const half = (Real)0.5;
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for (int j = 0; j < 3; ++j)
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{
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merge.center += half * (pmax[j] + pmin[j]) * merge.axis[j];
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merge.extent[j] = half * (pmax[j] - pmin[j]);
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}
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return true;
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}
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}
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