2008-10-27 15:48:14 +01:00
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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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2016-06-13 07:29:25 +02:00
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* Copyright(C) 2004-2016 \/)\/ *
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2008-10-27 15:48:14 +01:00
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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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* This program is free software; you can redistribute it and/or modify *
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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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#ifndef EIGEN_VCGLIB
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#define EIGEN_VCGLIB
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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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// TODO enable the vectorization
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2009-07-21 09:29:13 +02:00
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// #define EIGEN_DONT_VECTORIZE
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2008-10-28 21:06:17 +01:00
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#define EIGEN_MATRIXBASE_PLUGIN <vcg/math/eigen_matrixbase_addons.h>
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#define EIGEN_MATRIX_PLUGIN <vcg/math/eigen_matrix_addons.h>
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2008-10-27 15:48:14 +01:00
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2008-10-28 12:47:37 +01:00
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// forward declarations
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namespace Eigen {
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2008-10-29 01:05:44 +01:00
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2008-10-29 16:36:08 +01:00
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template<typename T> struct ei_traits;
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2009-01-23 00:10:24 +01:00
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template<typename A,typename B> struct ei_is_same_type;
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2008-10-29 01:05:44 +01:00
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2008-10-28 12:47:37 +01:00
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template<typename Derived1, typename Derived2, int Size> struct ei_lexi_comparison;
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2008-10-29 01:05:44 +01:00
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template<typename Derived1, typename Derived2,
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bool SameType = ei_is_same_type<Derived1,Derived2>::ret,
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bool SameSize = Derived1::SizeAtCompileTime==Derived2::SizeAtCompileTime>
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struct ei_import_selector;
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template<typename XprType,
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2008-10-29 15:01:44 +01:00
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int Rows = ei_traits<XprType>::RowsAtCompileTime,
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int Cols = ei_traits<XprType>::ColsAtCompileTime,
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int StorageOrder = ei_traits<XprType>::Flags&1,
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int MRows = ei_traits<XprType>::MaxRowsAtCompileTime,
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int MCols = ei_traits<XprType>::MaxColsAtCompileTime>
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2008-10-29 01:05:44 +01:00
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struct ei_to_vcgtype;
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2008-10-28 12:47:37 +01:00
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}
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2008-10-28 21:06:17 +01:00
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#include "base.h"
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2011-10-05 17:04:40 +02:00
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#include "../../eigenlib/Eigen/LU"
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#include "../../eigenlib/Eigen/Geometry"
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#include "../../eigenlib/Eigen/Array"
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#include "../../eigenlib/Eigen/Core"
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2008-10-27 20:35:17 +01:00
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2008-10-28 12:47:37 +01:00
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// add support for unsigned char and short int
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2008-10-27 20:35:17 +01:00
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namespace Eigen {
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template<> struct NumTraits<unsigned char>
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{
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typedef unsigned char Real;
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typedef float FloatingPoint;
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enum {
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IsComplex = 0,
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HasFloatingPoint = 0,
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ReadCost = 1,
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AddCost = 1,
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MulCost = 1
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};
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};
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template<> struct NumTraits<short int>
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{
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typedef short int Real;
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typedef float FloatingPoint;
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enum {
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IsComplex = 0,
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HasFloatingPoint = 0,
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ReadCost = 1,
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AddCost = 1,
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MulCost = 1
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};
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};
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2008-10-28 12:47:37 +01:00
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// WARNING this is a default version provided so that Intersection() stuff can compile.
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// Indeed, the compiler try to instanciate all versions of Intersection() leading to
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// the instanciation of Eigen::Matrix<Face,...> !!!
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template<typename T> struct NumTraits
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{
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struct wrong_type
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{
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wrong_type() { assert(0 && "Eigen: you are using a wrong scalar type" ); }
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};
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typedef wrong_type Real;
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typedef wrong_type FloatingPoint;
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enum {
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IsComplex = 0,
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HasFloatingPoint = 0,
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ReadCost = 0,
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AddCost = 0,
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MulCost = 0
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};
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};
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// implementation of Lexicographic order comparison
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// TODO should use meta unrollers
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template<typename Derived1, typename Derived2> struct ei_lexi_comparison<Derived1,Derived2,2>
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{
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inline static bool less(const Derived1& a, const Derived2& b) {
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return (a.coeff(1)!=b.coeff(1))?(a.coeff(1)< b.coeff(1)) : (a.coeff(0)<b.coeff(0));
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}
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inline static bool greater(const Derived1& a, const Derived2& b) {
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return (a.coeff(1)!=b.coeff(1))?(a.coeff(1)> b.coeff(1)) : (a.coeff(0)>b.coeff(0));
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}
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inline static bool lessEqual(const Derived1& a, const Derived2& b) {
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return (a.coeff(1)!=b.coeff(1))?(a.coeff(1)< b.coeff(1)) : (a.coeff(0)<=b.coeff(0));
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}
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inline static bool greaterEqual(const Derived1& a, const Derived2& b) {
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return (a.coeff(1)!=b.coeff(1))?(a.coeff(1)> b.coeff(1)) : (a.coeff(0)>=b.coeff(0));
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}
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};
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template<typename Derived1, typename Derived2> struct ei_lexi_comparison<Derived1,Derived2,3>
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{
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inline static bool less(const Derived1& a, const Derived2& b) {
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return (a.coeff(2)!=b.coeff(2))?(a.coeff(2)< b.coeff(2)):
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(a.coeff(1)!=b.coeff(1))?(a.coeff(1)< b.coeff(1)) : (a.coeff(0)<b.coeff(0));
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}
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inline static bool greater(const Derived1& a, const Derived2& b) {
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return (a.coeff(2)!=b.coeff(2))?(a.coeff(2)> b.coeff(2)):
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(a.coeff(1)!=b.coeff(1))?(a.coeff(1)> b.coeff(1)) : (a.coeff(0)>b.coeff(0));
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}
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inline static bool lessEqual(const Derived1& a, const Derived2& b) {
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return (a.coeff(2)!=b.coeff(2))?(a.coeff(2)< b.coeff(2)):
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(a.coeff(1)!=b.coeff(1))?(a.coeff(1)< b.coeff(1)) : (a.coeff(0)<=b.coeff(0));
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}
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inline static bool greaterEqual(const Derived1& a, const Derived2& b) {
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return (a.coeff(2)!=b.coeff(2))?(a.coeff(2)> b.coeff(2)):
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(a.coeff(1)!=b.coeff(1))?(a.coeff(1)> b.coeff(1)) : (a.coeff(0)>=b.coeff(0));
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}
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};
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template<typename Derived1, typename Derived2> struct ei_lexi_comparison<Derived1,Derived2,4>
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{
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inline static bool less(const Derived1& a, const Derived2& b) {
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return (a.coeff(3)!=b.coeff(3))?(a.coeff(3)< b.coeff(3)) : (a.coeff(2)!=b.coeff(2))?(a.coeff(2)< b.coeff(2)):
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(a.coeff(1)!=b.coeff(1))?(a.coeff(1)< b.coeff(1)) : (a.coeff(0)<b.coeff(0));
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}
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inline static bool greater(const Derived1& a, const Derived2& b) {
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return (a.coeff(3)!=b.coeff(3))?(a.coeff(3)> b.coeff(3)) : (a.coeff(2)!=b.coeff(2))?(a.coeff(2)> b.coeff(2)):
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(a.coeff(1)!=b.coeff(1))?(a.coeff(1)> b.coeff(1)) : (a.coeff(0)>b.coeff(0));
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}
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inline static bool lessEqual(const Derived1& a, const Derived2& b) {
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return (a.coeff(3)!=b.coeff(3))?(a.coeff(3)< b.coeff(3)) : (a.coeff(2)!=b.coeff(2))?(a.coeff(2)< b.coeff(2)):
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(a.coeff(1)!=b.coeff(1))?(a.coeff(1)< b.coeff(1)) : (a.coeff(0)<=b.coeff(0));
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}
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inline static bool greaterEqual(const Derived1& a, const Derived2& b) {
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return (a.coeff(3)!=b.coeff(3))?(a.coeff(3)> b.coeff(3)) : (a.coeff(2)!=b.coeff(2))?(a.coeff(2)> b.coeff(2)):
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(a.coeff(1)!=b.coeff(1))?(a.coeff(1)> b.coeff(1)) : (a.coeff(0)>=b.coeff(0));
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}
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};
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2008-10-29 01:05:44 +01:00
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// implementation of Import
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template<typename Derived1, typename Derived2>
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struct ei_import_selector<Derived1,Derived2,true,true>
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{
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static void run(Derived1& a, const Derived2& b) { a = b; }
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};
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template<typename Derived1, typename Derived2>
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struct ei_import_selector<Derived1,Derived2,false,true>
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{
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static void run(Derived1& a, const Derived2& b)
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{ a = b.template cast<typename Derived1::Scalar>(); }
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};
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template<typename Derived1, typename Derived2>
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struct ei_import_selector<Derived1,Derived2,false,false>
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{
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static void run(Derived1& a, const Derived2& b)
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{
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EIGEN_STATIC_ASSERT_VECTOR_ONLY(Derived1);
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EIGEN_STATIC_ASSERT_FIXED_SIZE(Derived1);
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EIGEN_STATIC_ASSERT_VECTOR_ONLY(Derived2);
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EIGEN_STATIC_ASSERT_FIXED_SIZE(Derived2);
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enum {
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Size1 = Derived1::SizeAtCompileTime,
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Size2 = Derived2::SizeAtCompileTime
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};
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assert(Size1<=4 && Size2<=4);
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a.coeffRef(0) = Scalar(b.coeff(0));
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if (Size1>1) { if (Size2>1) a.coeffRef(1) = Scalar(b.coeff(1)); else a.coeffRef(1) = 0; }
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if (Size1>2) { if (Size2>2) a.coeffRef(2) = Scalar(b.coeff(2)); else a.coeffRef(2) = 0; }
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if (Size1>3) { if (Size2>3) a.coeffRef(3) = Scalar(b.coeff(3)); else a.coeffRef(3) = 0; }
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}
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};
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// default implementation of ei_to_vcgtype
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// the specialization are with
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template<typename XprType,int Rows,int Cols,int StorageOrder,int MRows,int MCols>
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struct ei_to_vcgtype { typedef Matrix<typename XprType::Scalar,Rows,Cols,StorageOrder,MRows,MCols> type; };
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2008-10-27 20:35:17 +01:00
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}
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2008-10-27 15:48:14 +01:00
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#define VCG_EIGEN_INHERIT_ASSIGNMENT_OPERATOR(Derived, Op) \
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template<typename OtherDerived> \
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Derived& operator Op(const Eigen::MatrixBase<OtherDerived>& other) \
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{ \
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Base::operator Op(other.derived()); return *this;\
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} \
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Derived& operator Op(const Derived& other) \
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{ \
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Base::operator Op(other); return *this;\
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}
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#define VCG_EIGEN_INHERIT_SCALAR_ASSIGNMENT_OPERATOR(Derived, Op) \
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template<typename Other> \
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Derived& operator Op(const Other& scalar) \
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{ \
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Base::operator Op(scalar); return *this;\
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}
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#define VCG_EIGEN_INHERIT_ASSIGNMENT_OPERATORS(Derived) \
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VCG_EIGEN_INHERIT_ASSIGNMENT_OPERATOR(Derived, =) \
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VCG_EIGEN_INHERIT_ASSIGNMENT_OPERATOR(Derived, +=) \
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VCG_EIGEN_INHERIT_ASSIGNMENT_OPERATOR(Derived, -=) \
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VCG_EIGEN_INHERIT_SCALAR_ASSIGNMENT_OPERATOR(Derived, *=) \
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VCG_EIGEN_INHERIT_SCALAR_ASSIGNMENT_OPERATOR(Derived, /=)
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2008-10-27 20:35:17 +01:00
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namespace vcg {
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template<typename Derived1, typename Derived2>
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typename Eigen::ei_traits<Derived1>::Scalar
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Angle(const Eigen::MatrixBase<Derived1>& p1, const Eigen::MatrixBase<Derived2> & p2)
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{
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EIGEN_STATIC_ASSERT_VECTOR_ONLY(Derived1)
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EIGEN_STATIC_ASSERT_VECTOR_ONLY(Derived2)
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EIGEN_STATIC_ASSERT_FIXED_SIZE(Derived1)
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EIGEN_STATIC_ASSERT_FIXED_SIZE(Derived2)
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EIGEN_STATIC_ASSERT_SAME_VECTOR_SIZE(Derived1,Derived2)
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typedef typename Eigen::ei_traits<Derived1>::Scalar Scalar;
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Scalar w = p1.norm()*p2.norm();
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if(w==0) return Scalar(-1);
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Scalar t = (p1.dot(p2))/w;
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if(t>1) t = 1;
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else if(t<-1) t = -1;
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return vcg::math::Acos(t);
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}
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2008-10-28 12:47:37 +01:00
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template<typename Derived1, typename Derived2>
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typename Eigen::ei_traits<Derived1>::Scalar
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AngleN(const Eigen::MatrixBase<Derived1>& p1, const Eigen::MatrixBase<Derived2> & p2)
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{
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EIGEN_STATIC_ASSERT_VECTOR_ONLY(Derived1)
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EIGEN_STATIC_ASSERT_VECTOR_ONLY(Derived2)
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EIGEN_STATIC_ASSERT_FIXED_SIZE(Derived1)
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EIGEN_STATIC_ASSERT_FIXED_SIZE(Derived2)
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EIGEN_STATIC_ASSERT_SAME_VECTOR_SIZE(Derived1,Derived2)
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typedef typename Eigen::ei_traits<Derived1>::Scalar Scalar;
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Scalar t = (p1.dot(p2));
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if(t>1) t = 1;
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else if(t<-1) t = -1;
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return vcg::math::Acos(t);
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}
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2008-10-27 20:35:17 +01:00
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template<typename Derived1>
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inline typename Eigen::ei_traits<Derived1>::Scalar Norm( const Eigen::MatrixBase<Derived1>& p)
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{ return p.norm(); }
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template<typename Derived1>
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inline typename Eigen::ei_traits<Derived1>::Scalar SquaredNorm( const Eigen::MatrixBase<Derived1>& p)
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2009-01-23 17:58:47 +01:00
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{ return p.squaredNorm(); }
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2008-10-27 20:35:17 +01:00
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template<typename Derived1, typename Derived2>
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inline typename Eigen::ei_traits<Derived1>::Scalar
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Distance(const Eigen::MatrixBase<Derived1>& p1, const Eigen::MatrixBase<Derived2> & p2)
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{ return (p1-p2).norm(); }
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template<typename Derived1, typename Derived2>
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inline typename Eigen::ei_traits<Derived1>::Scalar
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SquaredDistance(const Eigen::MatrixBase<Derived1>& p1, const Eigen::MatrixBase<Derived2> & p2)
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2009-01-23 17:58:47 +01:00
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{ return (p1-p2).squaredNorm(); }
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2008-10-27 20:35:17 +01:00
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2008-10-28 21:06:17 +01:00
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template<typename Derived>
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inline const Eigen::CwiseUnaryOp<Eigen::ei_scalar_abs_op<typename Eigen::ei_traits<Derived>::Scalar>, Derived>
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Abs(const Eigen::MatrixBase<Derived>& p)
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{ return p.cwise().abs(); }
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2008-11-04 13:33:47 +01:00
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/** \deprecated use transposeInPlace() or transpose() */
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template<typename Scalar,int Size,int StorageOrder>
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EIGEN_DEPRECATED inline Eigen::Matrix<Scalar,Size,Size,StorageOrder>&
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Transpose(const Eigen::Matrix<Scalar,Size,Size,StorageOrder>& m)
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{ return m.transposeInPlace(); return m; }
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2008-10-28 21:06:17 +01:00
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template<typename Derived>
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inline const Eigen::CwiseBinaryOp<Eigen::ei_scalar_max_op<typename Eigen::ei_traits<Derived>::Scalar>,
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Derived,
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Eigen::NestByValue<typename Derived::ConstantReturnType> >
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LowClampToZero(const Eigen::MatrixBase<Derived>& p)
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{ return p.cwise().max(Derived::Zero().nestByValue()); }
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2008-10-27 20:35:17 +01:00
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}
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2008-10-27 15:48:14 +01:00
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#endif
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