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/*
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Open Asset Import Library (assimp)
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*/
/** @file Implementation of the helper class to quickly find
vertices close to a given position. Special implementation for
the 3ds loader handling smooth groups correctly */
#include "SGSpatialSort.h"
using namespace Assimp;
// ------------------------------------------------------------------------------------------------
SGSpatialSort::SGSpatialSort()
{
// define the reference plane. We choose some arbitrary vector away from all basic axises
// in the hope that no model spreads all its vertices along this plane.
mPlaneNormal.Set( 0.8523f, 0.34321f, 0.5736f);
mPlaneNormal.Normalize();
}
// ------------------------------------------------------------------------------------------------
// Destructor
SGSpatialSort::~SGSpatialSort()
{
// nothing to do here, everything destructs automatically
}
// ------------------------------------------------------------------------------------------------
void SGSpatialSort::Add(const aiVector3D& vPosition, unsigned int index,
unsigned int smoothingGroup)
{
// store position by index and distance
float distance = vPosition * mPlaneNormal;
mPositions.push_back( Entry( index, vPosition,
distance, smoothingGroup));
}
// ------------------------------------------------------------------------------------------------
void SGSpatialSort::Prepare()
{
// now sort the array ascending by distance.
std::sort( this->mPositions.begin(), this->mPositions.end());
}
// ------------------------------------------------------------------------------------------------
// Returns an iterator for all positions close to the given position.
void SGSpatialSort::FindPositions( const aiVector3D& pPosition,
uint32_t pSG,
float pRadius,
std::vector<unsigned int>& poResults,
bool exactMatch /*= false*/) const
{
float dist = pPosition * mPlaneNormal;
float minDist = dist - pRadius, maxDist = dist + pRadius;
// clear the array
poResults.clear();
// quick check for positions outside the range
if( mPositions.empty() )
return;
if( maxDist < mPositions.front().mDistance)
return;
if( minDist > mPositions.back().mDistance)
return;
// do a binary search for the minimal distance to start the iteration there
unsigned int index = (unsigned int)mPositions.size() / 2;
unsigned int binaryStepSize = (unsigned int)mPositions.size() / 4;
while( binaryStepSize > 1)
{
if( mPositions[index].mDistance < minDist)
index += binaryStepSize;
else
index -= binaryStepSize;
binaryStepSize /= 2;
}
// depending on the direction of the last step we need to single step a bit back or forth
// to find the actual beginning element of the range
while( index > 0 && mPositions[index].mDistance > minDist)
index--;
while( index < (mPositions.size() - 1) && mPositions[index].mDistance < minDist)
index++;
// Mow start iterating from there until the first position lays outside of the distance range.
// Add all positions inside the distance range within the given radius to the result aray
float squareEpsilon = pRadius * pRadius;
std::vector<Entry>::const_iterator it = mPositions.begin() + index;
std::vector<Entry>::const_iterator end = mPositions.end();
if (exactMatch)
{
while( it->mDistance < maxDist)
{
if((it->mPosition - pPosition).SquareLength() < squareEpsilon && it->mSmoothGroups == pSG)
{
poResults.push_back( it->mIndex);
}
++it;
if( end == it )break;
}
}
else
{
// if the given smoothing group is 0, we'll return all surrounding vertices
if (!pSG)
{
while( it->mDistance < maxDist)
{
if((it->mPosition - pPosition).SquareLength() < squareEpsilon)
poResults.push_back( it->mIndex);
++it;
if( end == it)break;
}
}
else while( it->mDistance < maxDist)
{
if((it->mPosition - pPosition).SquareLength() < squareEpsilon &&
(it->mSmoothGroups & pSG || !it->mSmoothGroups))
{
poResults.push_back( it->mIndex);
}
++it;
if( end == it)break;
}
}
}