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225 lines
6.6 KiB
C++
225 lines
6.6 KiB
C++
// This file is part of libigl, a simple c++ geometry processing library.
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//
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// Copyright (C) 2013 Alec Jacobson <alecjacobson@gmail.com>
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//
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// This Source Code Form is subject to the terms of the Mozilla Public License
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// v. 2.0. If a copy of the MPL was not distributed with this file, You can
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// obtain one at http://mozilla.org/MPL/2.0/.
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#include "fit_rotations.h"
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#include "polar_svd3x3.h"
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#include "repmat.h"
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#include "verbose.h"
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#include "polar_dec.h"
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#include "polar_svd.h"
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#include "C_STR.h"
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#include <iostream>
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template <typename DerivedS, typename DerivedD>
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IGL_INLINE void igl::fit_rotations(
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const Eigen::PlainObjectBase<DerivedS> & S,
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const bool single_precision,
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Eigen::PlainObjectBase<DerivedD> & R)
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{
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using namespace std;
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const int dim = S.cols();
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const int nr = S.rows()/dim;
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assert(nr * dim == S.rows());
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assert(dim == 3);
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// resize output
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R.resize(dim,dim*nr); // hopefully no op (should be already allocated)
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//std::cout<<"S=["<<std::endl<<S<<std::endl<<"];"<<std::endl;
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//MatrixXd si(dim,dim);
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Eigen::Matrix<typename DerivedS::Scalar,3,3> si;// = Eigen::Matrix3d::Identity();
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// loop over number of rotations we're computing
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for(int r = 0;r<nr;r++)
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{
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// build this covariance matrix
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for(int i = 0;i<dim;i++)
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{
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for(int j = 0;j<dim;j++)
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{
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si(i,j) = S(i*nr+r,j);
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}
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}
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typedef Eigen::Matrix<typename DerivedD::Scalar,3,3> Mat3;
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typedef Eigen::Matrix<typename DerivedD::Scalar,3,1> Vec3;
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Mat3 ri;
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if(single_precision)
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{
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polar_svd3x3(si, ri);
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}else
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{
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Mat3 ti,ui,vi;
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Vec3 _;
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igl::polar_svd(si,ri,ti,ui,_,vi);
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}
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assert(ri.determinant() >= 0);
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R.block(0,r*dim,dim,dim) = ri.block(0,0,dim,dim).transpose();
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//cout<<matlab_format(si,C_STR("si_"<<r))<<endl;
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//cout<<matlab_format(ri.transpose().eval(),C_STR("ri_"<<r))<<endl;
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}
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}
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template <typename DerivedS, typename DerivedD>
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IGL_INLINE void igl::fit_rotations_planar(
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const Eigen::PlainObjectBase<DerivedS> & S,
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Eigen::PlainObjectBase<DerivedD> & R)
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{
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using namespace std;
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const int dim = S.cols();
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const int nr = S.rows()/dim;
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//assert(dim == 2 && "_planar input should be 2D");
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assert(nr * dim == S.rows());
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// resize output
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R.resize(dim,dim*nr); // hopefully no op (should be already allocated)
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Eigen::Matrix<typename DerivedS::Scalar,2,2> si;
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// loop over number of rotations we're computing
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for(int r = 0;r<nr;r++)
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{
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// build this covariance matrix
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for(int i = 0;i<2;i++)
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{
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for(int j = 0;j<2;j++)
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{
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si(i,j) = S(i*nr+r,j);
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}
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}
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typedef Eigen::Matrix<typename DerivedD::Scalar,2,2> Mat2;
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typedef Eigen::Matrix<typename DerivedD::Scalar,2,1> Vec2;
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Mat2 ri,ti,ui,vi;
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Vec2 _;
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igl::polar_svd(si,ri,ti,ui,_,vi);
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#ifndef FIT_ROTATIONS_ALLOW_FLIPS
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// Check for reflection
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if(ri.determinant() < 0)
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{
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vi.col(1) *= -1.;
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ri = ui * vi.transpose();
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}
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assert(ri.determinant() >= 0);
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#endif
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// Not sure why polar_dec computes transpose...
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R.block(0,r*dim,dim,dim).setIdentity();
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R.block(0,r*dim,2,2) = ri.transpose();
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}
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}
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#ifdef __SSE__
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IGL_INLINE void igl::fit_rotations_SSE(
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const Eigen::MatrixXf & S,
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Eigen::MatrixXf & R)
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{
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const int cStep = 4;
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assert(S.cols() == 3);
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const int dim = 3; //S.cols();
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const int nr = S.rows()/dim;
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assert(nr * dim == S.rows());
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// resize output
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R.resize(dim,dim*nr); // hopefully no op (should be already allocated)
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Eigen::Matrix<float, 3*cStep, 3> siBig;
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// using SSE decompose cStep matrices at a time:
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int r = 0;
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for( ; r<nr; r+=cStep)
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{
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int numMats = cStep;
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if (r + cStep >= nr) numMats = nr - r;
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// build siBig:
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for (int k=0; k<numMats; k++)
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{
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for(int i = 0;i<dim;i++)
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{
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for(int j = 0;j<dim;j++)
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{
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siBig(i + 3*k, j) = S(i*nr + r + k, j);
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}
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}
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}
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Eigen::Matrix<float, 3*cStep, 3> ri;
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polar_svd3x3_sse(siBig, ri);
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for (int k=0; k<cStep; k++)
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assert(ri.block(3*k, 0, 3, 3).determinant() >= 0);
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// Not sure why polar_dec computes transpose...
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for (int k=0; k<numMats; k++)
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{
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R.block(0, (r + k)*dim, dim, dim) = ri.block(3*k, 0, dim, dim).transpose();
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}
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}
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}
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IGL_INLINE void igl::fit_rotations_SSE(
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const Eigen::MatrixXd & S,
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Eigen::MatrixXd & R)
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{
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const Eigen::MatrixXf Sf = S.cast<float>();
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Eigen::MatrixXf Rf;
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fit_rotations_SSE(Sf,Rf);
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R = Rf.cast<double>();
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}
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#endif
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#ifdef __AVX__
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IGL_INLINE void igl::fit_rotations_AVX(
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const Eigen::MatrixXf & S,
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Eigen::MatrixXf & R)
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{
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const int cStep = 8;
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assert(S.cols() == 3);
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const int dim = 3; //S.cols();
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const int nr = S.rows()/dim;
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assert(nr * dim == S.rows());
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// resize output
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R.resize(dim,dim*nr); // hopefully no op (should be already allocated)
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Eigen::Matrix<float, 3*cStep, 3> siBig;
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// using SSE decompose cStep matrices at a time:
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int r = 0;
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for( ; r<nr; r+=cStep)
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{
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int numMats = cStep;
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if (r + cStep >= nr) numMats = nr - r;
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// build siBig:
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for (int k=0; k<numMats; k++)
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{
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for(int i = 0;i<dim;i++)
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{
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for(int j = 0;j<dim;j++)
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{
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siBig(i + 3*k, j) = S(i*nr + r + k, j);
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}
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}
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}
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Eigen::Matrix<float, 3*cStep, 3> ri;
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polar_svd3x3_avx(siBig, ri);
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for (int k=0; k<cStep; k++)
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assert(ri.block(3*k, 0, 3, 3).determinant() >= 0);
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// Not sure why polar_dec computes transpose...
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for (int k=0; k<numMats; k++)
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{
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R.block(0, (r + k)*dim, dim, dim) = ri.block(3*k, 0, dim, dim).transpose();
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}
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}
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}
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#endif
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#ifdef IGL_STATIC_LIBRARY
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// Explicit template instantiation
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template void igl::fit_rotations<Eigen::Matrix<double, -1, -1, 0, -1, -1>, Eigen::Matrix<double, -1, -1, 0, -1, -1> >(Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1, 0, -1, -1> > const&, bool, Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1, 0, -1, -1> >&);
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template void igl::fit_rotations_planar<Eigen::Matrix<double, -1, -1, 0, -1, -1>, Eigen::Matrix<double, -1, -1, 0, -1, -1> >(Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1, 0, -1, -1> > const&, Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1, 0, -1, -1> >&);
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template void igl::fit_rotations_planar<Eigen::Matrix<float, -1, -1, 0, -1, -1>, Eigen::Matrix<float, -1, -1, 0, -1, -1> >(Eigen::PlainObjectBase<Eigen::Matrix<float, -1, -1, 0, -1, -1> > const&, Eigen::PlainObjectBase<Eigen::Matrix<float, -1, -1, 0, -1, -1> >&);
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template void igl::fit_rotations<Eigen::Matrix<float,-1,-1,0,-1,-1>,Eigen::Matrix<float,-1,-1,0,-1,-1> >(Eigen::PlainObjectBase<Eigen::Matrix<float,-1,-1,0,-1,-1> > const &,bool,Eigen::PlainObjectBase<Eigen::Matrix<float,-1,-1,0,-1,-1> > &);
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#endif
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