assimp.assimp/code/3DSSpatialSort.cpp

/*
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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 <algorithm>
#include "3DSSpatialSort.h"

#include "../include/aiAssert.h"

using namespace Assimp;
using namespace Assimp::Dot3DS;


// ------------------------------------------------------------------------------------------------
D3DSSpatialSorter::D3DSSpatialSorter()
	{
	// 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
D3DSSpatialSorter::~D3DSSpatialSorter()
	{
	// nothing to do here, everything destructs automatically
	}
// ------------------------------------------------------------------------------------------------
void D3DSSpatialSorter::AddFace(const Dot3DS::Face* pcFace,
	const std::vector<aiVector3D>& vPositions)
{
	ai_assert(NULL != pcFace);

	// store position by index and distance
	float distance = vPositions[pcFace->mIndices[0]] * mPlaneNormal;
	mPositions.push_back( Entry( pcFace->mIndices[0], vPositions[pcFace->mIndices[0]], 
		distance, pcFace->iSmoothGroup));

	// triangle vertex 2
	distance = vPositions[pcFace->mIndices[1]] * mPlaneNormal;
	mPositions.push_back( Entry( pcFace->mIndices[1], vPositions[pcFace->mIndices[1]], 
		distance, pcFace->iSmoothGroup));

	// triangle vertex 3
	distance = vPositions[pcFace->mIndices[2]] * mPlaneNormal;
	mPositions.push_back( Entry( pcFace->mIndices[2], vPositions[pcFace->mIndices[2]], 
		distance, pcFace->iSmoothGroup));
}
// ------------------------------------------------------------------------------------------------
void D3DSSpatialSorter::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 D3DSSpatialSorter::FindPositions( const aiVector3D& pPosition, 
	uint32_t pSG,
	float pRadius,
	std::vector<unsigned int>& poResults) const
	{
	float dist = pPosition * mPlaneNormal;
	float minDist = dist - pRadius, maxDist = dist + pRadius;

	// clear the array in this strange fashion because a simple clear() would also deallocate
	// the array which we want to avoid
	poResults.erase( poResults.begin(), poResults.end());

	// quick check for positions outside the range
	if( mPositions.size() == 0)
		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 = mPositions.size() / 2;
	unsigned int binaryStepSize = 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;
	if (0 == pSG)
		{
		while( it->mDistance < maxDist)
			{
			if((it->mPosition - pPosition).SquareLength() < squareEpsilon)
				{
				poResults.push_back( it->mIndex);
				}
			++it;
			if( it == mPositions.end())
				break;
			}
		}
	else
		{
		while( it->mDistance < maxDist)
			{
			if((it->mPosition - pPosition).SquareLength() < squareEpsilon &&
				(it->mSmoothGroups & pSG || 0 == it->mSmoothGroups))
				{
				poResults.push_back( it->mIndex);
				}
			++it;
			if( it == mPositions.end())
				break;
			}
		}
	return;
	}