Ponca  bab7704293a2c36e5bed9dea40def7ba839bfe08
Point Cloud Analysis library
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mlsSphereFitDer.hpp
1/*
2 This Source Code Form is subject to the terms of the Mozilla Public
3 License, v. 2.0. If a copy of the MPL was not distributed with this
4 file, You can obtain one at http://mozilla.org/MPL/2.0/.
5*/
6
7template <class DataPoint, class _NFilter, int DiffType, typename T>
9{
10 Base::init();
11
12 m_d2Uc = Matrix::Zero(), m_d2Uq = Matrix::Zero();
13 m_d2Ul = MatrixArray::Zero();
14
15 m_d2SumDotPN = Matrix::Zero();
16 m_d2SumDotPP = Matrix::Zero();
17 m_d2SumW = Matrix::Zero();
18
19 m_d2SumP = MatrixArray::Zero();
20 m_d2SumN = MatrixArray::Zero();
21}
22
23template <class DataPoint, class _NFilter, int DiffType, typename T>
25 const DataPoint& attributes, ScalarArray& dw)
26{
27 Base::addLocalNeighbor(w, localQ, attributes, dw);
28 // compute weight derivatives
29 Matrix d2w = Matrix::Zero();
30
31 if (Base::isScaleDer())
32 d2w(0, 0) = Base::getNeighborFilter().scaled2w(attributes.pos(), attributes);
33
34 if (Base::isSpaceDer())
35 d2w.template bottomRightCorner<Dim, Dim>() = Base::getNeighborFilter().spaced2w(attributes.pos(), attributes);
36
37 if (Base::isScaleDer() && Base::isSpaceDer())
38 {
39 d2w.template bottomLeftCorner<Dim, 1>() = Base::getNeighborFilter().scaleSpaced2w(attributes.pos(), attributes);
40 d2w.template topRightCorner<1, Dim>() = d2w.template bottomLeftCorner<Dim, 1>().transpose();
41 }
42
43 m_d2SumDotPN += d2w * attributes.normal().dot(localQ);
44 m_d2SumDotPP += d2w * localQ.squaredNorm();
45 m_d2SumW += d2w;
46
47 for (int i = 0; i < Dim; ++i)
48 {
49 m_d2SumP.template block<DerDim, DerDim>(0, i * DerDim) += d2w * localQ[i];
50 m_d2SumN.template block<DerDim, DerDim>(0, i * DerDim) += d2w * attributes.normal()[i];
51 }
52}
53
54template <class DataPoint, class _NFilter, int DiffType, typename T>
56{
57 Base::finalize();
58
59 if (this->isReady())
60 {
61 Matrix sumdSumPdSumN = Matrix::Zero();
62 Matrix sumd2SumPdSumN = Matrix::Zero();
63 Matrix sumd2SumNdSumP = Matrix::Zero();
64 Matrix sumdSumPdSumP = Matrix::Zero();
65 Matrix sumd2SumPdSumP = Matrix::Zero();
66
67 for (int i = 0; i < Dim; ++i)
68 {
69 sumdSumPdSumN += Base::m_dSumN.row(i).transpose() * Base::m_dSumP.row(i);
70 sumd2SumPdSumN += m_d2SumP.template block<DerDim, DerDim>(0, i * DerDim) * Base::m_sumN(i);
71 sumd2SumNdSumP += m_d2SumN.template block<DerDim, DerDim>(0, i * DerDim) * Base::m_sumP(i);
72 sumdSumPdSumP += Base::m_dSumP.row(i).transpose() * Base::m_dSumP.row(i);
73 sumd2SumPdSumP += m_d2SumP.template block<DerDim, DerDim>(0, i * DerDim) * Base::m_sumP(i);
74 }
75
76 Scalar invSumW = Scalar(1.) / Base::getWeightSum();
77
78 Matrix d2Nume =
79 m_d2SumDotPN -
80 invSumW * invSumW * invSumW * invSumW *
81 (Base::getWeightSum() * Base::getWeightSum() *
82 (Base::getWeightSum() *
83 (sumdSumPdSumN + sumdSumPdSumN.transpose() + sumd2SumPdSumN + sumd2SumNdSumP) +
84 Base::m_dSumW.transpose() *
85 (Base::m_sumN.transpose() * Base::m_dSumP + Base::m_sumP.transpose() * Base::m_dSumN) -
86 (Base::m_sumP.transpose() * Base::m_sumN) * m_d2SumW.transpose() -
87 (Base::m_dSumN.transpose() * Base::m_sumP + Base::m_dSumP.transpose() * Base::m_sumN) *
88 Base::m_dSumW) -
89 Scalar(2.) * Base::getWeightSum() * Base::m_dSumW.transpose() *
90 (Base::getWeightSum() *
91 (Base::m_sumN.transpose() * Base::m_dSumP + Base::m_sumP.transpose() * Base::m_dSumN) -
92 (Base::m_sumP.transpose() * Base::m_sumN) * Base::m_dSumW));
93
94 Matrix d2Deno = m_d2SumDotPP -
95 invSumW * invSumW * invSumW * invSumW *
96 (Base::getWeightSum() * Base::getWeightSum() *
97 (Scalar(2.) * Base::getWeightSum() * (sumdSumPdSumP + sumd2SumPdSumP) +
98 Scalar(2.) * Base::m_dSumW.transpose() * (Base::m_sumP.transpose() * Base::m_dSumP) -
99 (Base::m_sumP.transpose() * Base::m_sumP) * m_d2SumW.transpose() -
100 Scalar(2.) * (Base::m_dSumP.transpose() * Base::m_sumP) * Base::m_dSumW) -
101 Scalar(2.) * Base::getWeightSum() * Base::m_dSumW.transpose() *
102 (Scalar(2.) * Base::getWeightSum() * Base::m_sumP.transpose() * Base::m_dSumP -
103 (Base::m_sumP.transpose() * Base::m_sumP) * Base::m_dSumW));
104
105 Scalar deno2 = Base::m_deno * Base::m_deno;
106
107 m_d2Uq = Scalar(.5) / (deno2 * deno2) *
108 (deno2 * (Base::m_dDeno.transpose() * Base::m_dNume + Base::m_deno * d2Nume -
109 Base::m_dNume.transpose() * Base::m_dDeno - Base::m_nume * d2Deno) -
110 Scalar(2.) * Base::m_deno * Base::m_dDeno.transpose() *
111 (Base::m_deno * Base::m_dNume - Base::m_nume * Base::m_dDeno));
112
113 for (int i = 0; i < Dim; ++i)
114 {
115 m_d2Ul.template block<DerDim, DerDim>(0, i * DerDim) =
116 invSumW * (m_d2SumN.template block<DerDim, DerDim>(0, i * DerDim) -
117 Scalar(2.) * (m_d2Uq * Base::m_sumP[i] + Base::m_dSumP.row(i).transpose() * Base::m_dUq +
118 Base::m_uq * m_d2SumP.template block<DerDim, DerDim>(0, i * DerDim) +
119 Base::m_dUq.transpose() * Base::m_dSumP.row(i)) -
120 Base::m_ul[i] * m_d2SumW - Base::m_dUl.row(i).transpose() * Base::m_dSumW -
121 Base::m_dSumW.transpose() * Base::m_dUl.row(i));
122 }
123
124 Matrix sumdUldSumP = Matrix::Zero();
125 Matrix sumUld2SumP = Matrix::Zero();
126 Matrix sumd2UlsumP = Matrix::Zero();
127 Matrix sumdSumPdUl = Matrix::Zero();
128
129 for (int i = 0; i < Dim; ++i)
130 {
131 sumdUldSumP += Base::m_dUl.row(i).transpose() * Base::m_dSumP.row(i);
132 sumUld2SumP += Base::m_ul[i] * m_d2SumP.template block<DerDim, DerDim>(0, i * DerDim);
133 sumd2UlsumP += m_d2Ul.template block<DerDim, DerDim>(0, i * DerDim) * Base::m_sumP[i];
134 sumdSumPdUl += Base::m_dSumP.row(i).transpose() * Base::m_dUl.row(i);
135 }
136
137 m_d2Uc =
138 -invSumW *
139 (sumdUldSumP + sumUld2SumP + sumd2UlsumP + sumdSumPdUl + Base::m_dUq.transpose() * Base::m_dSumDotPP +
140 Base::m_uq * m_d2SumDotPP + Base::m_dSumDotPP.transpose() * Base::m_dUq + m_d2Uq * Base::m_sumDotPP +
141 Base::m_uc * m_d2SumW + Base::m_dUc.transpose() * Base::m_dSumW + Base::m_dSumW.transpose() * Base::m_dUc);
142 }
143
144 return Base::m_eCurrentState;
145}
146
147template <class DataPoint, class _NFilter, int DiffType, typename T>
149 T>::dPotential() const
150{
151 // Compute the 1st order derivative of the scalar field s = uc + x^T ul + x^T x uq
152 // In a centered basis (x=0), we obtain:
153 // the scale derivative: d_t(s)(t,0) = d_t(uc)(t,0)
154 // the spatial derivative: d_x(s)(t,0) = d_x(uc)(t,0) + ul(t,0)
155 ScalarArray result = Base::m_dUc;
156
157 if (Base::isSpaceDer())
158 result.template tail<Dim>() += Base::m_ul;
159
160 return result;
161}
162
163template <class DataPoint, class _NFilter, int DiffType, typename T>
165 T>::primitiveGradient() const
166{
167 // Compute the 1st order derivative of the scalar field and normalize it
168 VectorType grad = Base::m_dUc.template tail<Dim>().transpose() + Base::m_ul;
169 return grad.normalized();
170}
171
172template <class DataPoint, class _NFilter, int DiffType, typename T>
174 T>::dNormal() const
175{
176 // Compute the 1st order derivative of the normal, which is the normalized gradient N = d_x(s) / |d_x(s)|
177 // We obtain:
178 // the scale derivative: d_t(N) = (I-N N^T) / |d_x(s)| d2_tx(s)
179 // the spatial derivative: d_x(N) = (I-N N^T) / |d_x(s)| d2_x2(s)
180 // Where in a centered basis (x=0), we have:
181 // d2_tx(s) = d2_tx(uc) + d_t(ul)
182 // d2_x2(s) = d2_x2(uc) + d_x(ul) + d_x(ul)^T + 2 uq I
183 VectorArray result = VectorArray::Zero();
184
185 VectorType grad = Base::m_dUc.template tail<Dim>().transpose() + Base::m_ul;
186 Scalar gradNorm = grad.norm();
187
188 if (Base::isScaleDer())
189 result.col(0) = m_d2Uc.template topRightCorner<1, Dim>().transpose() + Base::m_dUl.col(0);
190
191 if (Base::isSpaceDer())
192 {
193 result.template rightCols<Dim>() = m_d2Uc.template bottomRightCorner<Dim, Dim>().transpose() +
194 Base::m_dUl.template rightCols<Dim>().transpose() +
195 Base::m_dUl.template rightCols<Dim>();
196 result.template rightCols<Dim>().diagonal().array() += Scalar(2.) * Base::m_uq;
197 }
198
199 return result / gradNorm - grad * grad.transpose() / (gradNorm * gradNorm) * result;
200}
Extension performing derivation of the mls surface.
typename Base::ScalarArray ScalarArray
Alias to scalar derivatives array.
typename Base::VectorArray VectorArray
Alias to vector derivatives array.
typename DataPoint::Scalar Scalar
Alias to scalar type.
Eigen::Matrix< Scalar, DerDim, DerDim > Matrix
Static squared matrix of scalars with a size adapted to the differentiation type.
typename Base::VectorType VectorType
Alias to vector type.
DiffType
Flags defining which derivatives need to be computed.
Definition enums.h:34
FIT_RESULT
Enum corresponding to the state of a fitting method (and what the finalize function returns)
Definition enums.h:15