Moved simple_volume into the trivial_walker.h file.

This commit is contained in:
Paolo Cignoni 2009-05-18 14:13:46 +00:00
parent f0de54811e
commit 66b962e142
2 changed files with 122 additions and 4 deletions

View File

@ -11,7 +11,6 @@
#include <wrap/io_trimesh/export_ply.h>
#include "simple_volume.h"
#include "trivial_walker.h"
using namespace std;

View File

@ -1,16 +1,135 @@
/****************************************************************************
* VCGLib o o *
* Visual and Computer Graphics Library o o *
* _ O _ *
* Copyright(C) 2004-2009 \/)\/ *
* Visual Computing Lab /\/| *
* ISTI - Italian National Research Council | *
* \ *
* All rights reserved. *
* *
* This program is free software; you can redistribute it and/or modify *
* it under the terms of the GNU General Public License as published by *
* the Free Software Foundation; either version 2 of the License, or *
* (at your option) any later version. *
* *
* This program is distributed in the hope that it will be useful, *
* but WITHOUT ANY WARRANTY; without even the implied warranty of *
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the *
* GNU General Public License (http://www.gnu.org/licenses/gpl.txt) *
* for more details. *
* *
****************************************************************************/
#ifndef __VCG_TRIVIAL_WALKER
#define __VCG_TRIVIAL_WALKER
namespace vcg {
namespace tri {
// Very simple volume class.
// just an example of the interface that the trivial walker expects
template <class VOX_TYPE>
class SimpleVolume
{
public:
typedef VOX_TYPE VoxelType;
std::vector<VoxelType> Vol;
Point3i sz; /// Dimensioni griglia come numero di celle per lato
const Point3i &ISize() {return sz;}; /// Dimensioni griglia come numero di celle per lato
void Init(Point3i _sz)
{
sz=_sz;
Vol.resize(sz[0]*sz[1]*sz[2]);
}
float Val(const int &x,const int &y,const int &z) const {
return cV(x,y,z).V();
//else return numeric_limits<float>::quiet_NaN( );
}
float &Val(const int &x,const int &y,const int &z) {
return V(x,y,z).V();
//else return numeric_limits<float>::quiet_NaN( );
}
VOX_TYPE &V(const int &x,const int &y,const int &z) {
return Vol[x+y*sz[0]+z*sz[0]*sz[1]];
}
const VOX_TYPE &cV(const int &x,const int &y,const int &z) const {
return Vol[x+y*sz[0]+z*sz[0]*sz[1]];
}
typedef enum { XAxis=0,YAxis=1,ZAxis=2} VolumeAxis;
template < class VertexPointerType, VolumeAxis AxisVal >
void GetIntercept(const vcg::Point3i &p1, const vcg::Point3i &p2, VertexPointerType &v, const float thr)
{
float f1 = Val(p1.X(), p1.Y(), p1.Z())-thr;
float f2 = Val(p2.X(), p2.Y(), p2.Z())-thr;
float u = (float) f1/(f1-f2);
if(AxisVal==XAxis) v->P().X() = (float) p1.X()*(1-u) + u*p2.X();
else v->P().X() = (float) p1.X();
if(AxisVal==YAxis) v->P().Y() = (float) p1.Y()*(1-u) + u*p2.Y();
else v->P().Y() = (float) p1.Y();
if(AxisVal==ZAxis) v->P().Z() = (float) p1.Z()*(1-u) + u*p2.Z();
else v->P().Z() = (float) p1.Z();
}
template < class VertexPointerType >
void GetXIntercept(const vcg::Point3i &p1, const vcg::Point3i &p2, VertexPointerType &v, const float thr)
{ GetIntercept<VertexPointerType,XAxis>(p1,p2,v,thr); }
template < class VertexPointerType >
void GetYIntercept(const vcg::Point3i &p1, const vcg::Point3i &p2, VertexPointerType &v, const float thr)
{ GetIntercept<VertexPointerType,YAxis>(p1,p2,v,thr); }
template < class VertexPointerType >
void GetZIntercept(const vcg::Point3i &p1, const vcg::Point3i &p2, VertexPointerType &v, const float thr)
{ GetIntercept<VertexPointerType,ZAxis>(p1,p2,v,thr); }
};
template <class VolumeType>
class RawVolumeImporter
{
public:
enum DataType
{
// Funzioni superiori
UNDEF=0,
BYTE=1,
SHORT=2,
FLOAT=3
};
static bool Open(const char *filename, VolumeType &V, Point3i sz, DataType d)
{
return true;
}
};
class SimpleVoxel
{
private:
float _v;
public:
float &V() {return _v;};
float V() const {return _v;};
};
namespace tri {
// La classe Walker implementa la politica di visita del volume; conoscendo l'ordine di visita del volume
// è conveniente che il Walker stesso si faccia carico del caching dei dati utilizzati durante l'esecuzione
// Ë conveniente che il Walker stesso si faccia carico del caching dei dati utilizzati durante l'esecuzione
// degli algoritmi MarchingCubes ed ExtendedMarchingCubes, in particolare il calcolo del volume ai vertici
// delle celle e delle intersezioni della superficie con le celle. In questo esempio il volume da processare
// viene suddiviso in fette; in questo modo se il volume ha dimensione h*l*w (rispettivamente altezza,
// larghezza e profondità), lo spazio richiesto per il caching dei vertici già allocati passa da O(h*l*w)
// larghezza e profondit‡), lo spazio richiesto per il caching dei vertici gi‡ allocati passa da O(h*l*w)
// a O(h*l).
template <class MeshType, class VolumeType>