192 lines
6.7 KiB
C++
192 lines
6.7 KiB
C++
/****************************************************************************
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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) 2004-2016 \/)\/ *
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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 NORMAL_EXTRAPOLATION_H
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#define NORMAL_EXTRAPOLATION_H
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#include <vcg/space/index/kdtree/kdtree.h>
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#include <vcg/space/fitting3.h>
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#include <vcg/complex/algorithms/smooth.h>
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namespace vcg {
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namespace tri {
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///
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/** \addtogroup trimesh */
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/*@{*/
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/// Class of static functions to smooth and fair meshes and their attributes.
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template <typename MeshType>
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class PointCloudNormal {
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public:
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typedef typename MeshType::VertexType VertexType;
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typedef typename MeshType::VertexType::CoordType CoordType;
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typedef typename MeshType::VertexPointer VertexPointer;
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typedef typename MeshType::VertexIterator VertexIterator;
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typedef typename MeshType::ScalarType ScalarType;
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class WArc
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{
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public:
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WArc(VertexPointer _s,VertexPointer _t):src(_s),trg(_t),w(fabs(_s->cN()*_t->cN())){}
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VertexPointer src;
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VertexPointer trg;
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float w;
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bool operator< (const WArc &a) const {return w<a.w;}
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};
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static void ComputeUndirectedNormal(MeshType &m, int nn, ScalarType maxDist, KdTree<ScalarType> &tree,vcg::CallBackPos * cb=0)
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{
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// tree.setMaxNofNeighbors(nn);
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const ScalarType maxDistSquared = maxDist*maxDist;
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int cnt=0;
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int step = max(m.vn, int(m.vn / 100));
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typename KdTree<ScalarType>::PriorityQueue nq;
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for (VertexIterator vi=m.vert.begin();vi!=m.vert.end();++vi)
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{
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tree.doQueryK(vi->cP(),nn,nq);
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if(cb && (++cnt%step)==0) cb(cnt/step,"Fitting planes");
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// int neighbours = tree.getNofFoundNeighbors();
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int neighbours = nq.getNofElements();
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std::vector<CoordType> ptVec;
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for (int i = 0; i < neighbours; i++)
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{
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// int neightId = tree.getNeighborId(i);
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int neightId = nq.getIndex(i);
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if(nq.getWeight(i) <maxDistSquared)
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ptVec.push_back(m.vert[neightId].cP());
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}
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Plane3<ScalarType> plane;
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FitPlaneToPointSet(ptVec,plane);
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vi->N()=plane.Direction();
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}
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}
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static void AddNeighboursToHeap( MeshType &m, VertexPointer vp, int nn, KdTree<ScalarType> &tree, std::vector<WArc> &heap)
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{
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typename KdTree<ScalarType>::PriorityQueue nq;
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tree.doQueryK(vp->cP(),nn,nq);
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int neighbours = nq.getNofElements();
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for (int i = 0; i < neighbours; i++)
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{
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// int neightId = tree.getNeighborId(i);
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int neightId = nq.getIndex(i);
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if (neightId < m.vn && (&m.vert[neightId] != vp))
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{
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if(!m.vert[neightId].IsV())
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{
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heap.push_back(WArc(vp,&(m.vert[neightId])));
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//std::push_heap(heap.begin(),heap.end());
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if(heap.back().w < 0.3f)
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heap.pop_back();
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else
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std::push_heap(heap.begin(),heap.end());
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}
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}
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}
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//std::push_heap(heap.begin(),heap.end());
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}
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/*! \brief parameters for the normal generation
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*/
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struct Param
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{
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Param():
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fittingAdjNum(10),
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smoothingIterNum(0),
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coherentAdjNum(8),
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viewPoint(0,0,0),
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useViewPoint(false)
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{}
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int fittingAdjNum; /// number of adjacent nodes used for computing the fitting plane
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int smoothingIterNum; /// number of itaration of a simple normal smoothing (use the same number of ajdacent of fittingAdjNjm)
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int coherentAdjNum; /// number of nodes used in the coherency pass
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CoordType viewPoint; /// position of a viewpoint used to disambiguate direction
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bool useViewPoint; /// if the position of the viewpoint has to be used.
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};
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static void Compute(MeshType &m, Param p, vcg::CallBackPos * cb=0)
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{
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tri::Allocator<MeshType>::CompactVertexVector(m);
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if(cb) cb(1,"Building KdTree...");
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VertexConstDataWrapper<MeshType> DW(m);
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KdTree<ScalarType> tree(DW);
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ComputeUndirectedNormal(m, p.fittingAdjNum, std::numeric_limits<ScalarType>::max(), tree,cb);
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tri::Smooth<MeshType>::VertexNormalPointCloud(m,p.fittingAdjNum,p.smoothingIterNum,&tree);
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if(p.coherentAdjNum==0) return;
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// tree.setMaxNofNeighbors(p.coherentAdjNum+1);
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if(p.useViewPoint) // Simple case use the viewpoint position to determine the right orientation of each point
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{
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for(VertexIterator vi=m.vert.begin();vi!=m.vert.end();++vi)
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{
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if ( vi->N().dot(p.viewPoint- vi->P())<0.0f)
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vi->N()=-(*vi).N();
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}
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return;
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}
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tri::UpdateFlags<MeshType>::VertexClearV(m);
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std::vector<WArc> heap;
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VertexIterator vi=m.vert.begin();
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while(true)
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{
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// search an unvisited vertex
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while(vi!=m.vert.end() && vi->IsV())
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++vi;
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if(vi==m.vert.end()) return;
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vi->SetV();
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AddNeighboursToHeap(m,&*vi,p.coherentAdjNum,tree,heap);
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while(!heap.empty())
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{
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std::pop_heap(heap.begin(),heap.end());
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WArc a = heap.back();
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heap.pop_back();
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if(!a.trg->IsV())
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{
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a.trg->SetV();
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if(a.src->cN()*a.trg->cN()<0.0f)
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a.trg->N()=-a.trg->N();
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AddNeighboursToHeap(m,a.trg,p.coherentAdjNum,tree,heap);
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}
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}
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}
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return;
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}
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};
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}//end namespace vcg
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}//end namespace vcg
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#endif // NORMAL_EXTRAPOLATION_H
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