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Fixing dep build script on Windows and removing some warnings. Use bundled igl by default. Not building with the dependency scripts if not explicitly stated. This way, it will stay in Fix the libigl patch to include C source files in header only mode.
158 lines
5.6 KiB
C++
158 lines
5.6 KiB
C++
// This file is part of libigl, a simple c++ geometry processing library.
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//
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// Copyright (C) 2016 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 "per_vertex_point_to_plane_quadrics.h"
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#include "quadric_binary_plus_operator.h"
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#include <Eigen/QR>
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#include <cassert>
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#include <cmath>
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IGL_INLINE void igl::per_vertex_point_to_plane_quadrics(
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const Eigen::MatrixXd & V,
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const Eigen::MatrixXi & F,
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const Eigen::MatrixXi & EMAP,
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const Eigen::MatrixXi & EF,
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const Eigen::MatrixXi & EI,
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std::vector<
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std::tuple<Eigen::MatrixXd,Eigen::RowVectorXd,double> > & quadrics)
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{
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using namespace std;
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typedef std::tuple<Eigen::MatrixXd,Eigen::RowVectorXd,double> Quadric;
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const int dim = V.cols();
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//// Quadrics per face
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//std::vector<Quadric> face_quadrics(F.rows());
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// Initialize each vertex quadric to zeros
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quadrics.resize(
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V.rows(),
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// gcc <=4.8 can't handle initializer lists correctly
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Quadric{Eigen::MatrixXd::Zero(dim,dim),Eigen::RowVectorXd::Zero(dim),0});
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Eigen::MatrixXd I = Eigen::MatrixXd::Identity(dim,dim);
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// Rather initial with zeros, initial with a small amount of energy pull
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// toward original vertex position
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const double w = 1e-10;
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for(int v = 0;v<V.rows();v++)
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{
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std::get<0>(quadrics[v]) = w*I;
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Eigen::RowVectorXd Vv = V.row(v);
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std::get<1>(quadrics[v]) = w*-Vv;
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std::get<2>(quadrics[v]) = w*Vv.dot(Vv);
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}
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// Generic nD qslim from "Simplifying Surfaces with Color and Texture
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// using Quadric Error Metric" (follow up to original QSlim)
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for(int f = 0;f<F.rows();f++)
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{
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int infinite_corner = -1;
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for(int c = 0;c<3;c++)
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{
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if(
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std::isinf(V(F(f,c),0)) ||
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std::isinf(V(F(f,c),1)) ||
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std::isinf(V(F(f,c),2)))
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{
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assert(infinite_corner == -1 && "Should only be one infinite corner");
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infinite_corner = c;
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}
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}
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// Inputs:
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// p 1 by n row point on the subspace
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// S m by n matrix where rows coorespond to orthonormal spanning
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// vectors of the subspace to which we're measuring distance (usually
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// a plane, m=2)
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// weight scalar weight
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// Returns quadric triple {A,b,c} so that A-2*b+c measures the quadric
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const auto subspace_quadric = [&I](
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const Eigen::RowVectorXd & p,
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const Eigen::MatrixXd & S,
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const double weight)->Quadric
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{
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// Dimension of subspace
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const int m = S.rows();
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// Weight face's quadric (v'*A*v + 2*b'*v + c) by area
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// e1 and e2 should be perpendicular
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Eigen::MatrixXd A = I;
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Eigen::RowVectorXd b = -p;
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double c = p.dot(p);
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for(int i = 0;i<m;i++)
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{
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Eigen::RowVectorXd ei = S.row(i);
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for(int j = 0;j<i;j++) assert(std::abs(S.row(j).dot(ei)) < 1e-10);
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A += -ei.transpose()*ei;
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b += p.dot(ei)*ei;
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c += -pow(p.dot(ei),2);
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}
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// gcc <=4.8 can't handle initializer lists correctly: needs explicit
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// cast
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return Quadric{ weight*A, weight*b, weight*c };
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};
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if(infinite_corner == -1)
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{
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// Finite (non-boundary) face
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Eigen::RowVectorXd p = V.row(F(f,0));
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Eigen::RowVectorXd q = V.row(F(f,1));
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Eigen::RowVectorXd r = V.row(F(f,2));
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Eigen::RowVectorXd pq = q-p;
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Eigen::RowVectorXd pr = r-p;
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// Gram Determinant = squared area of parallelogram
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double area = sqrt(pq.squaredNorm()*pr.squaredNorm()-pow(pr.dot(pq),2));
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Eigen::RowVectorXd e1 = pq.normalized();
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Eigen::RowVectorXd e2 = (pr-e1.dot(pr)*e1).normalized();
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Eigen::MatrixXd S(2,V.cols());
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S<<e1,e2;
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Quadric face_quadric = subspace_quadric(p,S,area);
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// Throw at each corner
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for(int c = 0;c<3;c++)
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{
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quadrics[F(f,c)] = quadrics[F(f,c)] + face_quadric;
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}
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}else
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{
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// cth corner is infinite --> edge opposite cth corner is boundary
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// Boundary edge vector
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const Eigen::RowVectorXd p = V.row(F(f,(infinite_corner+1)%3));
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Eigen::RowVectorXd ev = V.row(F(f,(infinite_corner+2)%3)) - p;
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const double length = ev.norm();
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ev /= length;
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// Face neighbor across boundary edge
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int e = EMAP(f+F.rows()*infinite_corner);
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int opp = EF(e,0) == f ? 1 : 0;
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int n = EF(e,opp);
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int nc = EI(e,opp);
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assert(
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((F(f,(infinite_corner+1)%3) == F(n,(nc+1)%3) &&
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F(f,(infinite_corner+2)%3) == F(n,(nc+2)%3)) ||
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(F(f,(infinite_corner+1)%3) == F(n,(nc+2)%3)
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&& F(f,(infinite_corner+2)%3) == F(n,(nc+1)%3))) &&
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"Edge flaps not agreeing on shared edge");
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// Edge vector on opposite face
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const Eigen::RowVectorXd eu = V.row(F(n,nc)) - p;
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assert(!std::isinf(eu(0)));
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// Matrix with vectors spanning plane as columns
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Eigen::MatrixXd A(ev.size(),2);
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A<<ev.transpose(),eu.transpose();
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// Use QR decomposition to find basis for orthogonal space
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Eigen::HouseholderQR<Eigen::MatrixXd> qr(A);
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const Eigen::MatrixXd Q = qr.householderQ();
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const Eigen::MatrixXd N =
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Q.topRightCorner(ev.size(),ev.size()-2).transpose();
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assert(N.cols() == ev.size());
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assert(N.rows() == ev.size()-2);
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Eigen::MatrixXd S(N.rows()+1,ev.size());
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S<<ev,N;
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Quadric boundary_edge_quadric = subspace_quadric(p,S,length);
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for(int c = 0;c<3;c++)
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{
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if(c != infinite_corner)
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{
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quadrics[F(f,c)] = quadrics[F(f,c)] + boundary_edge_quadric;
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}
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}
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}
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}
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}
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