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LSST Data Management Base Package
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Transformer.cc
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1// -*- lsst-c++ -*-
2
3/*
4 * LSST Data Management System
5 * Copyright 2008, 2009, 2010 LSST Corporation.
6 *
7 * This product includes software developed by the
8 * LSST Project (http://www.lsst.org/).
9 *
10 * This program is free software: you can redistribute it and/or modify
11 * it under the terms of the GNU General Public License as published by
12 * the Free Software Foundation, either version 3 of the License, or
13 * (at your option) any later version.
14 *
15 * This program is distributed in the hope that it will be useful,
16 * but WITHOUT ANY WARRANTY; without even the implied warranty of
17 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
18 * GNU General Public License for more details.
19 *
20 * You should have received a copy of the LSST License Statement and
21 * the GNU General Public License along with this program. If not,
22 * see <http://www.lsstcorp.org/LegalNotices/>.
23 */
25
26#include "Eigen/LU"
27
28namespace lsst {
29namespace afw {
30namespace geom {
31namespace ellipses {
32
38
40
42 Eigen::Matrix2d m;
43 input._assignToQuadrupole(m(0, 0), m(1, 1), m(0, 1));
44 m(1, 0) = m(0, 1);
45 m = transform.getMatrix() * m * transform.getMatrix().transpose();
46 result._assignFromQuadrupole(m(0, 0), m(1, 1), m(0, 1));
47}
48
69
71 std::shared_ptr<BaseCore> output(input.clone());
72 Eigen::Matrix2d m;
73 input._assignToQuadrupole(m(0, 0), m(1, 1), m(0, 1));
74 Eigen::Matrix<double, 3, 4> mid = Eigen::Matrix<double, 3, 4>::Zero();
75 m(1, 0) = m(0, 1);
92 m = transform.getMatrix() * m * transform.getMatrix().transpose();
93 Jacobian lhs = output->_dAssignFromQuadrupole(m(0, 0), m(1, 1), m(0, 1));
94 return lhs * mid;
95}
96
99 input.getCore().transform(transform.getLinear()).copy(), transform(input.getCenter()));
100 return r;
101}
102
104 input.setCenter(transform(input.getCenter()));
105 input.getCore().transform(transform.getLinear()).inPlace();
106}
107
109 DerivativeMatrix r = DerivativeMatrix::Zero();
110 r.block<2, 2>(3, 3) = transform.getLinear().getMatrix();
111 r.block<3, 3>(0, 0) = input.getCore().transform(transform.getLinear()).d();
112 return r;
113}
114
116 TransformDerivativeMatrix r = TransformDerivativeMatrix::Zero();
117 r.block<2, 6>(3, 0) = transform.dTransform(input.getCenter());
118 r.block<3, 4>(0, 0) = input.getCore().transform(transform.getLinear()).dTransform();
119 return r;
120}
121} // namespace ellipses
122} // namespace geom
123} // namespace afw
124} // namespace lsst
DerivativeMatrix d() const
Return the derivative of transformed core with respect to input core.
void inPlace()
Transform the ellipse core in-place.
TransformDerivativeMatrix dTransform() const
Return the derivative of transformed core with respect to transform parameters.
lsst::geom::LinearTransform const & transform
transform object
Definition Transformer.h:76
std::shared_ptr< BaseCore > copy() const
Return a new transformed ellipse core.
Eigen::Matrix< double, 3, 4 > TransformDerivativeMatrix
Matrix type for derivative with respect to transform parameters.
Definition Transformer.h:55
BaseCore & input
input core to be transformed
Definition Transformer.h:75
Eigen::Matrix3d DerivativeMatrix
Matrix type for derivative with respect to input ellipse parameters.
Definition Transformer.h:52
BaseCore()=default
Return the size of the bounding box for the ellipse core.
Eigen::Matrix3d Jacobian
Parameter Jacobian matrix type.
Definition BaseCore.h:64
Ellipse & input
input ellipse to be transformed
void inPlace()
Transform the ellipse in-place.
Eigen::Matrix< double, 5, 5 > DerivativeMatrix
Matrix type for derivative with respect to input ellipse parameters.
Definition Transformer.h:89
TransformDerivativeMatrix dTransform() const
Return the derivative of transform output ellipse with respect to transform parameters.
lsst::geom::AffineTransform const & transform
transform object
std::shared_ptr< Ellipse > copy() const
Return a new transformed ellipse.
DerivativeMatrix d() const
Return the derivative of transform output ellipse with respect to input ellipse.
Eigen::Matrix< double, 5, 6 > TransformDerivativeMatrix
Matrix type for derivative with respect to transform parameters.
Definition Transformer.h:92
T make_shared(T... args)