2004-09-14 21:48:27 +02:00
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/****************************************************************************
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* VCGLib o o *
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* Visual and Computer Graphics Library o o *
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* _ O _ *
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* Copyright(C) 2004 \/)\/ *
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* Visual Computing Lab /\/| *
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* ISTI - Italian National Research Council | *
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* \ *
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* All rights reserved. *
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* *
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make point2 derived Eigen's Matrix, and a set of minimal fixes to make meshlab compile
with both old and new version. The fixes include:
- dot product: vec0 * vec1 => vec0.dot(vec1) (I added .dot() to the old Point classes too)
- Transpose: Transpose is an Eigen type, so we cannot keep it if Eigen is used. Therefore
I added a .tranpose() to old matrix classes, and modified most of the Transpose() to transpose()
both in vcg and meshlab. In fact, transpose() are free with Eigen, it simply returns a transpose
expression without copies. On the other be carefull: m = m.transpose() won't work as expected,
here me must evaluate to a temporary: m = m.transpose().eval(); However, this operation in very
rarely needed: you transpose at the same sime you set m, or you use m.transpose() directly.
- the last issue is Normalize which both modifies *this and return a ref to it. This behavior
don't make sense anymore when using expression template, e.g., in (a+b).Normalize(), the type
of a+b if not a Point (or whatever Vector types), it an expression of the addition of 2 points,
so we cannot modify the value of *this, since there is no value. Therefore I've already changed
all those .Normalize() of expressions to the Eigen's version .normalized().
- Finally I've changed the Zero to SetZero in the old Point classes too.
2008-10-28 01:59:46 +01:00
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* This program is free software; you can redistribute it and/or modify *
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2004-09-14 21:48:27 +02:00
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* it under the terms of the GNU General Public License as published by *
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* the Free Software Foundation; either version 2 of the License, or *
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* (at your option) any later version. *
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* *
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* This program is distributed in the hope that it will be useful, *
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* but WITHOUT ANY WARRANTY; without even the implied warranty of *
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* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the *
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* GNU General Public License (http://www.gnu.org/licenses/gpl.txt) *
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* for more details. *
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* *
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****************************************************************************/
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/****************************************************************************
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History
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$Log: not supported by cvs2svn $
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2007-03-22 12:07:16 +01:00
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Revision 1.7 2006/11/13 12:53:40 ponchio
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just added an #include <matrix33>
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2006-11-13 13:53:40 +01:00
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Revision 1.6 2006/10/09 20:23:00 cignoni
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Added a minimum method that uses SVD. Unfortunately it is much much slower.
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2006-10-09 22:23:00 +02:00
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Revision 1.5 2004/12/10 01:31:59 cignoni
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added an alternative QuadricMinimization (we should use LRU decomposition!!)
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2004-12-10 02:03:15 +01:00
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Revision 1.3 2004/10/25 16:23:51 ponchio
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typedef ScalarType ScalarType; was a problem on g++
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2004-10-25 18:23:51 +02:00
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Revision 1.2 2004/10/25 16:15:59 ganovelli
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template changed
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2004-10-25 18:15:59 +02:00
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Revision 1.1 2004/09/14 19:48:27 ganovelli
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created
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2004-09-14 21:48:27 +02:00
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****************************************************************************/
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#ifndef __VCGLIB_QUADRIC
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#define __VCGLIB_QUADRIC
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#include <vcg/space/point3.h>
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#include <vcg/space/plane3.h>
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2006-11-13 13:53:40 +01:00
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#include <vcg/math/matrix33.h>
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2004-09-14 21:48:27 +02:00
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namespace vcg {
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namespace math {
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2004-10-25 18:23:51 +02:00
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template<typename Scalar>
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2004-09-14 21:48:27 +02:00
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class Quadric
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{
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public:
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2004-10-25 18:23:51 +02:00
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typedef Scalar ScalarType;
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2004-09-14 21:48:27 +02:00
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ScalarType a[6]; // Matrice 3x3 simmetrica: a11 a12 a13 a22 a23 a33
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ScalarType b[3]; // Vettore r3
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ScalarType c; // Fattore scalare (se -1 quadrica nulla)
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make point2 derived Eigen's Matrix, and a set of minimal fixes to make meshlab compile
with both old and new version. The fixes include:
- dot product: vec0 * vec1 => vec0.dot(vec1) (I added .dot() to the old Point classes too)
- Transpose: Transpose is an Eigen type, so we cannot keep it if Eigen is used. Therefore
I added a .tranpose() to old matrix classes, and modified most of the Transpose() to transpose()
both in vcg and meshlab. In fact, transpose() are free with Eigen, it simply returns a transpose
expression without copies. On the other be carefull: m = m.transpose() won't work as expected,
here me must evaluate to a temporary: m = m.transpose().eval(); However, this operation in very
rarely needed: you transpose at the same sime you set m, or you use m.transpose() directly.
- the last issue is Normalize which both modifies *this and return a ref to it. This behavior
don't make sense anymore when using expression template, e.g., in (a+b).Normalize(), the type
of a+b if not a Point (or whatever Vector types), it an expression of the addition of 2 points,
so we cannot modify the value of *this, since there is no value. Therefore I've already changed
all those .Normalize() of expressions to the Eigen's version .normalized().
- Finally I've changed the Zero to SetZero in the old Point classes too.
2008-10-28 01:59:46 +01:00
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2004-09-14 21:48:27 +02:00
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inline Quadric() { c = -1; }
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// Necessari se si utilizza stl microsoft
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// inline bool operator < ( const Quadric & q ) const { return false; }
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// inline bool operator == ( const Quadric & q ) const { return true; }
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bool IsValid() const { return c>=0; }
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void SetInvalid() { c = -1.0; }
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2004-10-25 18:15:59 +02:00
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template< class PlaneType >
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2004-09-14 21:48:27 +02:00
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void ByPlane( const PlaneType & p ) // Init dato un piano
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{
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2007-03-22 12:07:16 +01:00
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a[0] = (ScalarType)p.Direction()[0]*p.Direction()[0]; // a11
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a[1] = (ScalarType)p.Direction()[1]*p.Direction()[0]; // a12 (=a21)
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a[2] = (ScalarType)p.Direction()[2]*p.Direction()[0]; // a13 (=a31)
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a[3] = (ScalarType)p.Direction()[1]*p.Direction()[1]; // a22
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a[4] = (ScalarType)p.Direction()[2]*p.Direction()[1]; // a23 (=a32)
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a[5] = (ScalarType)p.Direction()[2]*p.Direction()[2]; // a33
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2004-09-14 21:48:27 +02:00
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b[0] = (ScalarType)(-2.0)*p.Offset()*p.Direction()[0];
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b[1] = (ScalarType)(-2.0)*p.Offset()*p.Direction()[1];
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b[2] = (ScalarType)(-2.0)*p.Offset()*p.Direction()[2];
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2007-03-22 12:07:16 +01:00
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c = (ScalarType)p.Offset()*p.Offset();
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2004-09-14 21:48:27 +02:00
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}
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2008-10-27 20:35:17 +01:00
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void SetZero() // Azzera la quadrica
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2004-09-14 21:48:27 +02:00
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{
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a[0] = 0;
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a[1] = 0;
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a[2] = 0;
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a[3] = 0;
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a[4] = 0;
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a[5] = 0;
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b[0] = 0;
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b[1] = 0;
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b[2] = 0;
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c = 0;
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}
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void operator = ( const Quadric & q ) // Assegna una quadrica
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{
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//assert( IsValid() );
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2004-09-14 21:48:27 +02:00
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assert( q.IsValid() );
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a[0] = q.a[0];
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a[1] = q.a[1];
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a[2] = q.a[2];
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a[3] = q.a[3];
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a[4] = q.a[4];
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a[5] = q.a[5];
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b[0] = q.b[0];
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b[1] = q.b[1];
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b[2] = q.b[2];
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c = q.c;
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}
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void operator += ( const Quadric & q ) // Somma una quadrica
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{
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assert( IsValid() );
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assert( q.IsValid() );
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a[0] += q.a[0];
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a[1] += q.a[1];
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a[2] += q.a[2];
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a[3] += q.a[3];
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a[4] += q.a[4];
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a[5] += q.a[5];
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b[0] += q.b[0];
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b[1] += q.b[1];
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b[2] += q.b[2];
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c += q.c;
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}
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2004-10-25 18:15:59 +02:00
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template <class ResultScalarType>
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ResultScalarType Apply( const Point3<ResultScalarType> & p ) const // Applica la quadrica al punto p
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2004-09-14 21:48:27 +02:00
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{
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assert( IsValid() );
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/*
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2007-03-22 12:07:16 +01:00
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// Versione Lenta
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2004-09-14 21:48:27 +02:00
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Point3d t;
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t[0] = p[0]*a[0] + p[1]*a[1] + p[2]*a[2];
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t[1] = p[0]*a[1] + p[1]*a[3] + p[2]*a[4];
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t[2] = p[0]*a[2] + p[1]*a[4] + p[2]*a[5];
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double k = b[0]*p[0] + b[1]*p[1] + b[2]*p[2];
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double tp = t*p ;
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assert(tp+k+c >= 0);
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2004-09-14 21:48:27 +02:00
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return tp + k + c;
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2007-03-22 12:07:16 +01:00
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*/
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2004-09-14 21:48:27 +02:00
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2007-03-22 12:07:16 +01:00
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/* Versione veloce */
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2006-10-09 22:23:00 +02:00
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return ResultScalarType (
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make point2 derived Eigen's Matrix, and a set of minimal fixes to make meshlab compile
with both old and new version. The fixes include:
- dot product: vec0 * vec1 => vec0.dot(vec1) (I added .dot() to the old Point classes too)
- Transpose: Transpose is an Eigen type, so we cannot keep it if Eigen is used. Therefore
I added a .tranpose() to old matrix classes, and modified most of the Transpose() to transpose()
both in vcg and meshlab. In fact, transpose() are free with Eigen, it simply returns a transpose
expression without copies. On the other be carefull: m = m.transpose() won't work as expected,
here me must evaluate to a temporary: m = m.transpose().eval(); However, this operation in very
rarely needed: you transpose at the same sime you set m, or you use m.transpose() directly.
- the last issue is Normalize which both modifies *this and return a ref to it. This behavior
don't make sense anymore when using expression template, e.g., in (a+b).Normalize(), the type
of a+b if not a Point (or whatever Vector types), it an expression of the addition of 2 points,
so we cannot modify the value of *this, since there is no value. Therefore I've already changed
all those .Normalize() of expressions to the Eigen's version .normalized().
- Finally I've changed the Zero to SetZero in the old Point classes too.
2008-10-28 01:59:46 +01:00
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p[0]*p[0]*a[0] + 2*p[0]*p[1]*a[1] + 2*p[0]*p[2]*a[2] + p[0]*b[0]
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2006-10-09 22:23:00 +02:00
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+ p[1]*p[1]*a[3] + 2*p[1]*p[2]*a[4] + p[1]*b[1]
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+ p[2]*p[2]*a[5] + p[2]*b[2] + c);
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2007-03-22 12:07:16 +01:00
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2004-09-14 21:48:27 +02:00
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}
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// spostare..risolve un sistema 3x3
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make point2 derived Eigen's Matrix, and a set of minimal fixes to make meshlab compile
with both old and new version. The fixes include:
- dot product: vec0 * vec1 => vec0.dot(vec1) (I added .dot() to the old Point classes too)
- Transpose: Transpose is an Eigen type, so we cannot keep it if Eigen is used. Therefore
I added a .tranpose() to old matrix classes, and modified most of the Transpose() to transpose()
both in vcg and meshlab. In fact, transpose() are free with Eigen, it simply returns a transpose
expression without copies. On the other be carefull: m = m.transpose() won't work as expected,
here me must evaluate to a temporary: m = m.transpose().eval(); However, this operation in very
rarely needed: you transpose at the same sime you set m, or you use m.transpose() directly.
- the last issue is Normalize which both modifies *this and return a ref to it. This behavior
don't make sense anymore when using expression template, e.g., in (a+b).Normalize(), the type
of a+b if not a Point (or whatever Vector types), it an expression of the addition of 2 points,
so we cannot modify the value of *this, since there is no value. Therefore I've already changed
all those .Normalize() of expressions to the Eigen's version .normalized().
- Finally I've changed the Zero to SetZero in the old Point classes too.
2008-10-28 01:59:46 +01:00
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template<class FLTYPE>
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2004-09-14 21:48:27 +02:00
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bool Gauss33( FLTYPE x[], FLTYPE C[3][3+1] )
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{
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2007-03-22 12:07:16 +01:00
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const FLTYPE keps = (FLTYPE)1e-3;
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2004-09-14 21:48:27 +02:00
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int i,j,k;
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FLTYPE eps; // Determina valore cond.
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eps = math::Abs(C[0][0]);
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for(i=1;i<3;++i)
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{
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FLTYPE t = math::Abs(C[i][i]);
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if( eps<t ) eps = t;
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}
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eps *= keps;
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for (i = 0; i < 3 - 1; ++i) // Ciclo di riduzione
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{
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int ma = i; // Ricerca massimo pivot
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FLTYPE vma = math::Abs( C[i][i] );
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for (k = i + 1; k < 3; k++)
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{
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FLTYPE t = math::Abs( C[k][i] );
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if (t > vma)
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{
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vma = t;
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ma = k;
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}
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}
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if (vma<eps)
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return false; // Matrice singolare
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if(i!=ma) // Swap del massimo pivot
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for(k=0;k<=3;k++)
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{
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FLTYPE t = C[i][k];
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C[i][k] = C[ma][k];
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C[ma][k] = t;
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}
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for (k = i + 1; k < 3; k++) // Riduzione
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{
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FLTYPE s;
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s = C[k][i] / C[i][i];
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for (j = i+1; j <= 3; j++)
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C[k][j] -= C[i][j] * s;
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C[k][i] = 0.0;
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}
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}
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// Controllo finale singolarita'
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if( math::Abs(C[3-1][3- 1])<eps)
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return false;
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for (i=3-1; i>=0; i--) // Sostituzione
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{
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FLTYPE t;
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for (t = 0.0, j = i + 1; j < 3; j++)
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t += C[i][j] * x[j];
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x[i] = (C[i][3] - t) / C[i][i];
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}
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return true;
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}
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// determina il punto di errore minimo
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2004-10-25 18:15:59 +02:00
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template <class ReturnScalarType>
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bool Minimum(Point3<ReturnScalarType> &x)
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make point2 derived Eigen's Matrix, and a set of minimal fixes to make meshlab compile
with both old and new version. The fixes include:
- dot product: vec0 * vec1 => vec0.dot(vec1) (I added .dot() to the old Point classes too)
- Transpose: Transpose is an Eigen type, so we cannot keep it if Eigen is used. Therefore
I added a .tranpose() to old matrix classes, and modified most of the Transpose() to transpose()
both in vcg and meshlab. In fact, transpose() are free with Eigen, it simply returns a transpose
expression without copies. On the other be carefull: m = m.transpose() won't work as expected,
here me must evaluate to a temporary: m = m.transpose().eval(); However, this operation in very
rarely needed: you transpose at the same sime you set m, or you use m.transpose() directly.
- the last issue is Normalize which both modifies *this and return a ref to it. This behavior
don't make sense anymore when using expression template, e.g., in (a+b).Normalize(), the type
of a+b if not a Point (or whatever Vector types), it an expression of the addition of 2 points,
so we cannot modify the value of *this, since there is no value. Therefore I've already changed
all those .Normalize() of expressions to the Eigen's version .normalized().
- Finally I've changed the Zero to SetZero in the old Point classes too.
2008-10-28 01:59:46 +01:00
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|
{
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2004-10-25 18:15:59 +02:00
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ReturnScalarType C[3][4];
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2004-09-14 21:48:27 +02:00
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C[0][0]=a[0]; C[0][1]=a[1]; C[0][2]=a[2];
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C[1][0]=a[1]; C[1][1]=a[3]; C[1][2]=a[4];
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C[2][0]=a[2]; C[2][1]=a[4]; C[2][2]=a[5];
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C[0][3]=-b[0]/2;
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C[1][3]=-b[1]/2;
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C[2][3]=-b[2]/2;
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return Gauss33(&(x[0]),C);
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}
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2006-10-09 22:23:00 +02:00
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// determina il punto di errore minimo usando le fun di inversione di matrice che usano svd
|
make point2 derived Eigen's Matrix, and a set of minimal fixes to make meshlab compile
with both old and new version. The fixes include:
- dot product: vec0 * vec1 => vec0.dot(vec1) (I added .dot() to the old Point classes too)
- Transpose: Transpose is an Eigen type, so we cannot keep it if Eigen is used. Therefore
I added a .tranpose() to old matrix classes, and modified most of the Transpose() to transpose()
both in vcg and meshlab. In fact, transpose() are free with Eigen, it simply returns a transpose
expression without copies. On the other be carefull: m = m.transpose() won't work as expected,
here me must evaluate to a temporary: m = m.transpose().eval(); However, this operation in very
rarely needed: you transpose at the same sime you set m, or you use m.transpose() directly.
- the last issue is Normalize which both modifies *this and return a ref to it. This behavior
don't make sense anymore when using expression template, e.g., in (a+b).Normalize(), the type
of a+b if not a Point (or whatever Vector types), it an expression of the addition of 2 points,
so we cannot modify the value of *this, since there is no value. Therefore I've already changed
all those .Normalize() of expressions to the Eigen's version .normalized().
- Finally I've changed the Zero to SetZero in the old Point classes too.
2008-10-28 01:59:46 +01:00
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// Molto + lento
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2006-10-09 22:23:00 +02:00
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template <class ReturnScalarType>
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bool MinimumSVD(Point3<ReturnScalarType> &x)
|
make point2 derived Eigen's Matrix, and a set of minimal fixes to make meshlab compile
with both old and new version. The fixes include:
- dot product: vec0 * vec1 => vec0.dot(vec1) (I added .dot() to the old Point classes too)
- Transpose: Transpose is an Eigen type, so we cannot keep it if Eigen is used. Therefore
I added a .tranpose() to old matrix classes, and modified most of the Transpose() to transpose()
both in vcg and meshlab. In fact, transpose() are free with Eigen, it simply returns a transpose
expression without copies. On the other be carefull: m = m.transpose() won't work as expected,
here me must evaluate to a temporary: m = m.transpose().eval(); However, this operation in very
rarely needed: you transpose at the same sime you set m, or you use m.transpose() directly.
- the last issue is Normalize which both modifies *this and return a ref to it. This behavior
don't make sense anymore when using expression template, e.g., in (a+b).Normalize(), the type
of a+b if not a Point (or whatever Vector types), it an expression of the addition of 2 points,
so we cannot modify the value of *this, since there is no value. Therefore I've already changed
all those .Normalize() of expressions to the Eigen's version .normalized().
- Finally I've changed the Zero to SetZero in the old Point classes too.
2008-10-28 01:59:46 +01:00
|
|
|
{
|
2006-10-09 22:23:00 +02:00
|
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Matrix33<ReturnScalarType> C;
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C[0][0]=a[0]; C[0][1]=a[1]; C[0][2]=a[2];
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C[1][0]=a[1]; C[1][1]=a[3]; C[1][2]=a[4];
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C[2][0]=a[2]; C[2][1]=a[4]; C[2][2]=a[5];
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Invert(C);
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C[0][3]=-b[0]/2;
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C[1][3]=-b[1]/2;
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C[2][3]=-b[2]/2;
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x = C * Point3<ReturnScalarType>(-b[0]/2,-b[1]/2,-b[2]/2) ;
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return true;
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}
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|
|
2004-12-10 02:03:15 +01:00
|
|
|
|
2004-12-10 02:31:59 +01:00
|
|
|
bool MinimumNew(Point3<ScalarType> &x) const
|
make point2 derived Eigen's Matrix, and a set of minimal fixes to make meshlab compile
with both old and new version. The fixes include:
- dot product: vec0 * vec1 => vec0.dot(vec1) (I added .dot() to the old Point classes too)
- Transpose: Transpose is an Eigen type, so we cannot keep it if Eigen is used. Therefore
I added a .tranpose() to old matrix classes, and modified most of the Transpose() to transpose()
both in vcg and meshlab. In fact, transpose() are free with Eigen, it simply returns a transpose
expression without copies. On the other be carefull: m = m.transpose() won't work as expected,
here me must evaluate to a temporary: m = m.transpose().eval(); However, this operation in very
rarely needed: you transpose at the same sime you set m, or you use m.transpose() directly.
- the last issue is Normalize which both modifies *this and return a ref to it. This behavior
don't make sense anymore when using expression template, e.g., in (a+b).Normalize(), the type
of a+b if not a Point (or whatever Vector types), it an expression of the addition of 2 points,
so we cannot modify the value of *this, since there is no value. Therefore I've already changed
all those .Normalize() of expressions to the Eigen's version .normalized().
- Finally I've changed the Zero to SetZero in the old Point classes too.
2008-10-28 01:59:46 +01:00
|
|
|
{
|
2004-12-10 02:03:15 +01:00
|
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ScalarType c0=-b[0]/2;
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ScalarType c1=-b[1]/2;
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ScalarType c2=-b[2]/2;
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ScalarType t125 = a[4]*a[1];
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ScalarType t124 = a[4]*a[4]-a[3]*a[5];
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ScalarType t123 = -a[1]*a[5]+a[4]*a[2];
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ScalarType t122 = a[2]*a[3]-t125;
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ScalarType t121 = -a[2]*a[1]+a[0]*a[4];
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ScalarType t120 = a[2]*a[2];
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ScalarType t119 = a[1]*a[1];
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ScalarType t117 = 1.0/(-a[3]*t120+2*a[2]*t125-t119*a[5]-t124*a[0]);
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x[0] = -(t124*c0+t122*c2-t123*c1)*t117;
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x[1] = (t123*c0-t121*c2+(-t120+a[0]*a[5])*c1)*t117;
|
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x[2] = -(t122*c0+(t119-a[0]*a[3])*c2+t121*c1)*t117;
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|
return true;
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}
|
2004-09-14 21:48:27 +02:00
|
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// determina il punto di errore minimo vincolato nel segmento (a,b)
|
|
|
|
bool Minimum(Point3<ScalarType> &x,Point3<ScalarType> &pa,Point3<ScalarType> &pb){
|
make point2 derived Eigen's Matrix, and a set of minimal fixes to make meshlab compile
with both old and new version. The fixes include:
- dot product: vec0 * vec1 => vec0.dot(vec1) (I added .dot() to the old Point classes too)
- Transpose: Transpose is an Eigen type, so we cannot keep it if Eigen is used. Therefore
I added a .tranpose() to old matrix classes, and modified most of the Transpose() to transpose()
both in vcg and meshlab. In fact, transpose() are free with Eigen, it simply returns a transpose
expression without copies. On the other be carefull: m = m.transpose() won't work as expected,
here me must evaluate to a temporary: m = m.transpose().eval(); However, this operation in very
rarely needed: you transpose at the same sime you set m, or you use m.transpose() directly.
- the last issue is Normalize which both modifies *this and return a ref to it. This behavior
don't make sense anymore when using expression template, e.g., in (a+b).Normalize(), the type
of a+b if not a Point (or whatever Vector types), it an expression of the addition of 2 points,
so we cannot modify the value of *this, since there is no value. Therefore I've already changed
all those .Normalize() of expressions to the Eigen's version .normalized().
- Finally I've changed the Zero to SetZero in the old Point classes too.
2008-10-28 01:59:46 +01:00
|
|
|
ScalarType t1,t2, t4, t5, t8, t9,
|
2004-09-14 21:48:27 +02:00
|
|
|
t11,t12,t14,t15,t17,t18,t25,t26,t30,t34,t35,
|
|
|
|
t41,t42,t44,t45,t50,t52,t54,
|
|
|
|
t56,t21,t23,t37,t64,lambda;
|
|
|
|
|
make point2 derived Eigen's Matrix, and a set of minimal fixes to make meshlab compile
with both old and new version. The fixes include:
- dot product: vec0 * vec1 => vec0.dot(vec1) (I added .dot() to the old Point classes too)
- Transpose: Transpose is an Eigen type, so we cannot keep it if Eigen is used. Therefore
I added a .tranpose() to old matrix classes, and modified most of the Transpose() to transpose()
both in vcg and meshlab. In fact, transpose() are free with Eigen, it simply returns a transpose
expression without copies. On the other be carefull: m = m.transpose() won't work as expected,
here me must evaluate to a temporary: m = m.transpose().eval(); However, this operation in very
rarely needed: you transpose at the same sime you set m, or you use m.transpose() directly.
- the last issue is Normalize which both modifies *this and return a ref to it. This behavior
don't make sense anymore when using expression template, e.g., in (a+b).Normalize(), the type
of a+b if not a Point (or whatever Vector types), it an expression of the addition of 2 points,
so we cannot modify the value of *this, since there is no value. Therefore I've already changed
all those .Normalize() of expressions to the Eigen's version .normalized().
- Finally I've changed the Zero to SetZero in the old Point classes too.
2008-10-28 01:59:46 +01:00
|
|
|
t1 = a[4]*pb.z();
|
2004-09-14 21:48:27 +02:00
|
|
|
t2 = t1*pa.y();
|
|
|
|
t4 = a[1]*pb.y();
|
|
|
|
t5 = t4*pa.x();
|
|
|
|
t8 = a[1]*pa.y();
|
|
|
|
t9 = t8*pa.x();
|
|
|
|
t11 = a[4]*pa.z();
|
|
|
|
t12 = t11*pa.y();
|
|
|
|
t14 = pa.z()*pa.z();
|
|
|
|
t15 = a[5]*t14;
|
|
|
|
t17 = a[2]*pa.z();
|
|
|
|
t18 = t17*pa.x();
|
|
|
|
t21 = 2.0*t11*pb.y();
|
|
|
|
t23 = a[5]*pb.z()*pa.z();
|
|
|
|
t25 = a[2]*pb.z();
|
|
|
|
t26 = t25*pa.x();
|
|
|
|
t30 = a[0]*pb.x()*pa.x();
|
|
|
|
t34 = 2.0*a[3]*pb.y()*pa.y();
|
|
|
|
t35 = t17*pb.x();
|
|
|
|
t37 = t8*pb.x();
|
|
|
|
t41 = pa.x()*pa.x();
|
|
|
|
t42 = a[0]*t41;
|
|
|
|
t44 = pa.y()*pa.y();
|
|
|
|
t45 = a[3]*t44;
|
|
|
|
t50 = 2.0*t30+t34+2.0*t35+2.0*t37-(-b[2]/2)*pa.z()-(-b[0]/2)*pa.x()-2.0*t42-2.0*t45+(-b[1]/2)*pb.y()
|
|
|
|
+(-b[0]/2)*pb.x()-(-b[1]/2)*pa.y();
|
|
|
|
t52 = pb.y()*pb.y();
|
|
|
|
t54 = pb.z()*pb.z();
|
|
|
|
t56 = pb.x()*pb.x();
|
|
|
|
t64 = t5+t37-t9+t30-t18+t35+t26-t25*pb.x()+t2-t1*pb.y()+t23;
|
|
|
|
lambda = (2.0*t2+2.0*t5+(-b[2]/2)*pb.z()-4.0*t9-4.0*t12-2.0*t15-4.0*t18+t21+2.0*t23+
|
|
|
|
2.0*t26+t50)/(-t45-a[3]*t52-a[5]*t54-a[0]*t56-t15-t42+t34-2.0*t12+t21-2.0*t4*pb.x()+
|
|
|
|
2.0*t64)/2.0;
|
|
|
|
|
|
|
|
if(lambda<0) lambda=0; else if(lambda>1) lambda = 1;
|
|
|
|
|
make point2 derived Eigen's Matrix, and a set of minimal fixes to make meshlab compile
with both old and new version. The fixes include:
- dot product: vec0 * vec1 => vec0.dot(vec1) (I added .dot() to the old Point classes too)
- Transpose: Transpose is an Eigen type, so we cannot keep it if Eigen is used. Therefore
I added a .tranpose() to old matrix classes, and modified most of the Transpose() to transpose()
both in vcg and meshlab. In fact, transpose() are free with Eigen, it simply returns a transpose
expression without copies. On the other be carefull: m = m.transpose() won't work as expected,
here me must evaluate to a temporary: m = m.transpose().eval(); However, this operation in very
rarely needed: you transpose at the same sime you set m, or you use m.transpose() directly.
- the last issue is Normalize which both modifies *this and return a ref to it. This behavior
don't make sense anymore when using expression template, e.g., in (a+b).Normalize(), the type
of a+b if not a Point (or whatever Vector types), it an expression of the addition of 2 points,
so we cannot modify the value of *this, since there is no value. Therefore I've already changed
all those .Normalize() of expressions to the Eigen's version .normalized().
- Finally I've changed the Zero to SetZero in the old Point classes too.
2008-10-28 01:59:46 +01:00
|
|
|
x = pa*(1.0-lambda)+pb*lambda;
|
2004-09-14 21:48:27 +02:00
|
|
|
return true;
|
|
|
|
}
|
|
|
|
|
|
|
|
void operator *= ( const ScalarType & w ) // Amplifica una quadirca
|
|
|
|
{
|
|
|
|
assert( IsValid() );
|
make point2 derived Eigen's Matrix, and a set of minimal fixes to make meshlab compile
with both old and new version. The fixes include:
- dot product: vec0 * vec1 => vec0.dot(vec1) (I added .dot() to the old Point classes too)
- Transpose: Transpose is an Eigen type, so we cannot keep it if Eigen is used. Therefore
I added a .tranpose() to old matrix classes, and modified most of the Transpose() to transpose()
both in vcg and meshlab. In fact, transpose() are free with Eigen, it simply returns a transpose
expression without copies. On the other be carefull: m = m.transpose() won't work as expected,
here me must evaluate to a temporary: m = m.transpose().eval(); However, this operation in very
rarely needed: you transpose at the same sime you set m, or you use m.transpose() directly.
- the last issue is Normalize which both modifies *this and return a ref to it. This behavior
don't make sense anymore when using expression template, e.g., in (a+b).Normalize(), the type
of a+b if not a Point (or whatever Vector types), it an expression of the addition of 2 points,
so we cannot modify the value of *this, since there is no value. Therefore I've already changed
all those .Normalize() of expressions to the Eigen's version .normalized().
- Finally I've changed the Zero to SetZero in the old Point classes too.
2008-10-28 01:59:46 +01:00
|
|
|
|
2004-09-14 21:48:27 +02:00
|
|
|
a[0] *= w;
|
|
|
|
a[1] *= w;
|
|
|
|
a[2] *= w;
|
|
|
|
a[3] *= w;
|
|
|
|
a[4] *= w;
|
|
|
|
a[5] *= w;
|
|
|
|
b[0] *= w;
|
|
|
|
b[1] *= w;
|
|
|
|
b[2] *= w;
|
|
|
|
c *= w;
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
|
|
};
|
|
|
|
|
|
|
|
typedef Quadric<short> Quadrics;
|
|
|
|
typedef Quadric<int> Quadrici;
|
|
|
|
typedef Quadric<float> Quadricf;
|
|
|
|
typedef Quadric<double> Quadricd;
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
} // end namespace math
|
|
|
|
} // end namespace vcg
|
|
|
|
|
|
|
|
#endif
|