bool Plane::InitAverage(const MiscLib::Vector< Vec3f > &samples)
{
	if(samples.size() < 1)
		return false;
	m_normal = Vec3f(0, 0, 0);
	m_pos = Vec3f(0, 0, 0);
	size_t c = samples.size() / 2;
	MiscLib::Vector< GfxTL::Vector3Df > normals(c);
	for(intptr_t i = 0; i < c; ++i)
		normals[i] = GfxTL::Vector3Df(samples[i + c]);
	GfxTL::Vector3Df meanNormal;
	GfxTL::MeanOfNormals(normals.begin(), normals.end(), &meanNormal);
	m_normal = Vec3f(meanNormal.Data());
	GfxTL::Vector3Df mean;
	GfxTL::Mean(samples.begin(), samples.begin() + c, &mean);
	m_pos = Vec3f(mean.Data());
	m_dist = m_pos.dot(m_normal);
	return true;
}
void ConePrimitiveShape::BitmapExtent(float epsilon,
	GfxTL::AABox< GfxTL::Vector2Df > *bbox,
	MiscLib::Vector< std::pair< float, float > > *params,
	size_t *uextent, size_t *vextent)
{
	*uextent = std::ceil((bbox->Max()[0] - bbox->Min()[0]) / epsilon); // no wrappig along u direction
	*vextent = std::ceil((bbox->Max()[1] - bbox->Min()[1]) / epsilon) + 1; // add one for wrapping
	if((*vextent) * (*uextent) > 1e6 && m_cone.Angle() < float(M_PI / 4))
	{
		// try to reparameterize
		// try to find cut in the outer regions
		MiscLib::Vector< float > angularParams;//(params->size());
		angularParams.reserve(params->size());
		float outer = 3.f * std::max(abs(bbox->Min()[0]), abs(bbox->Max()[0])) / 4.f;
		for(size_t i = 0; i < params->size(); ++i)
			if((*params)[i].first > outer)
				angularParams.push_back(((*params)[i].second
					/ m_cone.RadiusAtLength((*params)[i].first)) + float(M_PI));
		std::sort(angularParams.begin(), angularParams.end());
		// try to find a large gap
		float maxGap = 0;
		float lower, upper;
		for(size_t i = 1; i < angularParams.size(); ++i)
		{
			float gap = angularParams[i] - angularParams[i - 1];
			if(gap > maxGap)
			{
				maxGap = gap;
				lower = angularParams[i - 1];
				upper = angularParams[i];
			}
		}
		// reparameterize with new angular cut
		float newCut = (lower + upper) / 2.f;
		m_cone.RotateAngularDirection(newCut);
		bbox->Min()[1] = std::numeric_limits< float >::infinity();
		bbox->Max()[1] = -std::numeric_limits< float >::infinity();
		for(size_t i = 0; i < params->size(); ++i)
		{
			float r = m_cone.RadiusAtLength((*params)[i].first);
			(*params)[i].second = ((*params)[i].second / r) + float(M_PI) - newCut;
			if((*params)[i].second < 0)
				(*params)[i].second = 2 * float(M_PI) + (*params)[i].second;
			(*params)[i].second = ((*params)[i].second - float(M_PI)) * r;
			if((*params)[i].second < bbox->Min()[1])
				bbox->Min()[1] = (*params)[i].second;
			if((*params)[i].second > bbox->Max()[1])
				bbox->Max()[1] = (*params)[i].second;
		}
		*vextent = std::floor((bbox->Max()[1] - bbox->Min()[1]) / epsilon) + 1;
	}
}
Ejemplo n.º 3
0
void qRansacSD::doAction()
{
    assert(m_app);
    if (!m_app)
        return;

    const ccHObject::Container& selectedEntities = m_app->getSelectedEntities();
    size_t selNum = selectedEntities.size();
    if (selNum!=1)
    {
        m_app->dispToConsole("Select only one cloud!",ccMainAppInterface::ERR_CONSOLE_MESSAGE);
        return;
    }

    ccHObject* ent = selectedEntities[0];
    assert(ent);
    if (!ent || !ent->isA(CC_POINT_CLOUD))
    {
        m_app->dispToConsole("Select a real point cloud!",ccMainAppInterface::ERR_CONSOLE_MESSAGE);
        return;
    }

    ccPointCloud* pc = static_cast<ccPointCloud*>(ent);

    //input cloud
    size_t count = (size_t)pc->size();
    bool hasNorms = pc->hasNormals();
    PointCoordinateType bbMin[3],bbMax[3];
    pc->getBoundingBox(bbMin,bbMax);

    //Convert CC point cloud to RANSAC_SD type
    PointCloud cloud;
    {
        try
        {
            cloud.reserve(count);
        }
        catch(...)
        {
            m_app->dispToConsole("Not enough memory!",ccMainAppInterface::ERR_CONSOLE_MESSAGE);
            return;
        }

        //default point & normal
        Point Pt;
        Pt.normal[0] = 0.0;
        Pt.normal[1] = 0.0;
        Pt.normal[2] = 0.0;
        for (unsigned i=0; i<(unsigned)count; ++i)
        {
            const CCVector3* P = pc->getPoint(i);
            Pt.pos[0] = P->x;
            Pt.pos[1] = P->y;
            Pt.pos[2] = P->z;
            if (hasNorms)
            {
                const PointCoordinateType* N = pc->getPointNormal(i);
                Pt.normal[0] = N[0];
                Pt.normal[1] = N[1];
                Pt.normal[2] = N[2];
            }
            cloud.push_back(Pt);
        }

        //manually set bounding box!
        Vec3f cbbMin,cbbMax;
        cbbMin[0] = bbMin[0];
        cbbMin[1] = bbMin[1];
        cbbMin[2] = bbMin[2];
        cbbMax[0] = bbMax[0];
        cbbMax[1] = bbMax[1];
        cbbMax[2] = bbMax[2];
        cloud.setBBox(cbbMin,cbbMax);
    }

    //cloud scale (useful for setting several parameters
    const float scale = cloud.getScale();

    //init dialog with default values
    ccRansacSDDlg rsdDlg(m_app->getMainWindow());
    rsdDlg.epsilonDoubleSpinBox->setValue(.01f * scale);		// set distance threshold to .01f of bounding box width
    // NOTE: Internally the distance threshold is taken as 3 * ransacOptions.m_epsilon!!!
    rsdDlg.bitmapEpsilonDoubleSpinBox->setValue(.02f * scale);	// set bitmap resolution to .02f of bounding box width
    // NOTE: This threshold is NOT multiplied internally!
    rsdDlg.supportPointsSpinBox->setValue(s_supportPoints);
    rsdDlg.normThreshDoubleSpinBox->setValue(s_normThresh);
    rsdDlg.probaDoubleSpinBox->setValue(s_proba);
    rsdDlg.planeCheckBox->setChecked(s_primEnabled[0]);
    rsdDlg.sphereCheckBox->setChecked(s_primEnabled[1]);
    rsdDlg.cylinderCheckBox->setChecked(s_primEnabled[2]);
    rsdDlg.coneCheckBox->setChecked(s_primEnabled[3]);
    rsdDlg.torusCheckBox->setChecked(s_primEnabled[4]);

    if (!rsdDlg.exec())
        return;

    //for parameters persistence
    {
        s_supportPoints = rsdDlg.supportPointsSpinBox->value();
        s_normThresh = rsdDlg.normThreshDoubleSpinBox->value();
        s_proba = rsdDlg.probaDoubleSpinBox->value();

        //consistency check
        {
            unsigned char primCount = 0;
            for (unsigned char k=0; k<5; ++k)
                primCount += (unsigned)s_primEnabled[k];
            if (primCount==0)
            {
                m_app->dispToConsole("No primitive type selected!",ccMainAppInterface::ERR_CONSOLE_MESSAGE);
                return;
            }
        }

        s_primEnabled[0] = rsdDlg.planeCheckBox->isChecked();
        s_primEnabled[1] = rsdDlg.sphereCheckBox->isChecked();
        s_primEnabled[2] = rsdDlg.cylinderCheckBox->isChecked();
        s_primEnabled[3] = rsdDlg.coneCheckBox->isChecked();
        s_primEnabled[4] = rsdDlg.torusCheckBox->isChecked();
    }

    //import parameters from dialog
    RansacShapeDetector::Options ransacOptions;
    {
        ransacOptions.m_epsilon = rsdDlg.epsilonDoubleSpinBox->value();
        ransacOptions.m_bitmapEpsilon = rsdDlg.bitmapEpsilonDoubleSpinBox->value();
        ransacOptions.m_normalThresh = rsdDlg.normThreshDoubleSpinBox->value();
        ransacOptions.m_minSupport = rsdDlg.supportPointsSpinBox->value();
        ransacOptions.m_probability = rsdDlg.probaDoubleSpinBox->value();
    }

    //progress dialog
    ccProgressDialog progressCb(false,m_app->getMainWindow());
    progressCb.setRange(0,0);

    if (!hasNorms)
    {
        progressCb.setInfo("Computing normals (please wait)");
        progressCb.start();
        QApplication::processEvents();

        cloud.calcNormals(.01f * scale);

        if (pc->reserveTheNormsTable())
        {
            for (size_t i=0; i<count; ++i)
            {
                CCVector3 N(cloud[i].normal);
                N.normalize();
                pc->addNorm(N.u);
            }
            pc->showNormals(true);

            //currently selected entities appearance may have changed!
            pc->prepareDisplayForRefresh_recursive();
        }
        else
        {
            m_app->dispToConsole("Not enough memory to compute normals!",ccMainAppInterface::ERR_CONSOLE_MESSAGE);
            return;
        }
    }

    // set which primitives are to be detected by adding the respective constructors
    RansacShapeDetector detector(ransacOptions); // the detector object

    if (rsdDlg.planeCheckBox->isChecked())
        detector.Add(new PlanePrimitiveShapeConstructor());
    if (rsdDlg.sphereCheckBox->isChecked())
        detector.Add(new SpherePrimitiveShapeConstructor());
    if (rsdDlg.cylinderCheckBox->isChecked())
        detector.Add(new CylinderPrimitiveShapeConstructor());
    if (rsdDlg.coneCheckBox->isChecked())
        detector.Add(new ConePrimitiveShapeConstructor());
    if (rsdDlg.torusCheckBox->isChecked())
        detector.Add(new TorusPrimitiveShapeConstructor());

    size_t remaining = count;
    typedef std::pair< MiscLib::RefCountPtr< PrimitiveShape >, size_t > DetectedShape;
    MiscLib::Vector< DetectedShape > shapes; // stores the detected shapes

    // run detection
    // returns number of unassigned points
    // the array shapes is filled with pointers to the detected shapes
    // the second element per shapes gives the number of points assigned to that primitive (the support)
    // the points belonging to the first shape (shapes[0]) have been sorted to the end of pc,
    // i.e. into the range [ pc.size() - shapes[0].second, pc.size() )
    // the points of shape i are found in the range
    // [ pc.size() - \sum_{j=0..i} shapes[j].second, pc.size() - \sum_{j=0..i-1} shapes[j].second )

    {
        progressCb.setInfo("Operation in progress");
        progressCb.setMethodTitle("Ransac Shape Detection");
        progressCb.start();

        //run in a separate thread
        s_detector = &detector;
        s_shapes = &shapes;
        s_cloud = &cloud;
        QFuture<void> future = QtConcurrent::run(doDetection);

        unsigned progress = 0;
        while (!future.isFinished())
        {
#if defined(_WIN32) || defined(WIN32)
            ::Sleep(500);
#else
            sleep(500);
#endif
            progressCb.update(++progress);
            //Qtconcurrent::run can't be canceled!
            /*if (progressCb.isCancelRequested())
            {
            	future.cancel();
            	future.waitForFinished();
            	s_remainingPoints = count;
            	break;
            }
            //*/
        }

        remaining = s_remainingPoints;

        progressCb.stop();
        QApplication::processEvents();
    }
    //else
    //{
    //	remaining = detector.Detect(cloud, 0, cloud.size(), &shapes);
    //}

#ifdef _DEBUG
    FILE* fp = fopen("RANS_SD_trace.txt","wt");

    fprintf(fp,"[Options]\n");
    fprintf(fp,"epsilon=%f\n",ransacOptions.m_epsilon);
    fprintf(fp,"bitmap epsilon=%f\n",ransacOptions.m_bitmapEpsilon);
    fprintf(fp,"normal thresh=%f\n",ransacOptions.m_normalThresh);
    fprintf(fp,"min support=%i\n",ransacOptions.m_minSupport);
    fprintf(fp,"probability=%f\n",ransacOptions.m_probability);

    fprintf(fp,"\n[Statistics]\n");
    fprintf(fp,"input points=%i\n",count);
    fprintf(fp,"segmented=%i\n",count-remaining);
    fprintf(fp,"remaining=%i\n",remaining);

    if (shapes.size()>0)
    {
        fprintf(fp,"\n[Shapes]\n");
        for (unsigned i=0; i<shapes.size(); ++i)
        {
            PrimitiveShape* shape = shapes[i].first;
            unsigned shapePointsCount = shapes[i].second;

            std::string desc;
            shape->Description(&desc);
            fprintf(fp,"#%i - %s - %i points\n",i+1,desc.c_str(),shapePointsCount);
        }
    }
    fclose(fp);
#endif

    if (remaining == count)
    {
        m_app->dispToConsole("Segmentation failed...",ccMainAppInterface::ERR_CONSOLE_MESSAGE);
        return;
    }

    if (shapes.size() > 0)
    {
        ccHObject* group = 0;
        for (MiscLib::Vector<DetectedShape>::const_iterator it = shapes.begin(); it != shapes.end(); ++it)
        {
            const PrimitiveShape* shape = it->first;
            size_t shapePointsCount = it->second;

            //too many points?!
            if (shapePointsCount > count)
            {
                m_app->dispToConsole("Inconsistent result!",ccMainAppInterface::ERR_CONSOLE_MESSAGE);
                break;
            }

            std::string desc;
            shape->Description(&desc);

            //new cloud for sub-part
            ccPointCloud* pcShape = new ccPointCloud(desc.c_str());

            //we fill cloud with sub-part points
            if (!pcShape->reserve((unsigned)shapePointsCount))
            {
                m_app->dispToConsole("Not enough memory!",ccMainAppInterface::ERR_CONSOLE_MESSAGE);
                delete pcShape;
                break;
            }
            bool saveNormals = pcShape->reserveTheNormsTable();

            for (size_t j=0; j<shapePointsCount; ++j)
            {
                pcShape->addPoint(CCVector3(cloud[count-1-j].pos));
                if (saveNormals)
                    pcShape->addNorm(cloud[count-1-j].normal);
            }

            //random color
            unsigned char col[3]= { (unsigned char)(255.0*(float)rand()/(float)RAND_MAX),
                                    (unsigned char)(255.0*(float)rand()/(float)RAND_MAX),
                                    0
                                  };
            col[2]=255-(col[1]+col[2])/2;
            pcShape->setRGBColor(col);
            pcShape->showColors(true);
            pcShape->showNormals(saveNormals);
            pcShape->setVisible(true);

            //convert detected primitive into a CC primitive type
            ccGenericPrimitive* prim = 0;
            switch(shape->Identifier())
            {
            case 0: //plane
            {
                const PlanePrimitiveShape* plane = static_cast<const PlanePrimitiveShape*>(shape);
                Vec3f G = plane->Internal().getPosition();
                Vec3f N = plane->Internal().getNormal();
                Vec3f X = plane->getXDim();
                Vec3f Y = plane->getYDim();

                //we look for real plane extents
                float minX,maxX,minY,maxY;
                for (size_t j=0; j<shapePointsCount; ++j)
                {
                    std::pair<float,float> param;
                    plane->Parameters(cloud[count-1-j].pos,&param);
                    if (j!=0)
                    {
                        if (minX<param.first)
                            minX=param.first;
                        else if (maxX>param.first)
                            maxX=param.first;
                        if (minY<param.second)
                            minY=param.second;
                        else if (maxY>param.second)
                            maxY=param.second;
                    }
                    else
                    {
                        minX=maxX=param.first;
                        minY=maxY=param.second;
                    }
                }

                //we recenter plane (as it is not always the case!)
                float dX = maxX-minX;
                float dY = maxY-minY;
                G += X * (minX+dX*0.5);
                G += Y * (minY+dY*0.5);

                //we build matrix from these vecctors
                ccGLMatrix glMat(CCVector3(X.getValue()),
                                 CCVector3(Y.getValue()),
                                 CCVector3(N.getValue()),
                                 CCVector3(G.getValue()));

                //plane primitive
                prim = new ccPlane(dX,dY,&glMat);

            }
            break;

            case 1: //sphere
            {
                const SpherePrimitiveShape* sphere = static_cast<const SpherePrimitiveShape*>(shape);
                float radius = sphere->Internal().Radius();
                Vec3f CC = sphere->Internal().Center();

                pcShape->setName(QString("Sphere (r=%1)").arg(radius,0,'f'));

                //we build matrix from these vecctors
                ccGLMatrix glMat;
                glMat.setTranslation(CCVector3(CC.getValue()));
                //sphere primitive
                prim = new ccSphere(radius,&glMat);
                prim->setEnabled(false);

            }
            break;

            case 2: //cylinder
            {
                const CylinderPrimitiveShape* cyl = static_cast<const CylinderPrimitiveShape*>(shape);
                Vec3f G = cyl->Internal().AxisPosition();
                Vec3f N = cyl->Internal().AxisDirection();
                Vec3f X = cyl->Internal().AngularDirection();
                Vec3f Y = N.cross(X);
                float r = cyl->Internal().Radius();
                float hMin = cyl->MinHeight();
                float hMax = cyl->MaxHeight();
                float h = hMax-hMin;
                G += N * (hMin+h*0.5);

                pcShape->setName(QString("Cylinder (r=%1/h=%2)").arg(r,0,'f').arg(h,0,'f'));

                //we build matrix from these vecctors
                ccGLMatrix glMat(CCVector3(X.getValue()),
                                 CCVector3(Y.getValue()),
                                 CCVector3(N.getValue()),
                                 CCVector3(G.getValue()));

                //cylinder primitive
                prim = new ccCylinder(r,h,&glMat);
                prim->setEnabled(false);

            }
            break;

            case 3: //cone
            {
                const ConePrimitiveShape* cone = static_cast<const ConePrimitiveShape*>(shape);
                Vec3f CC = cone->Internal().Center();
                Vec3f CA = cone->Internal().AxisDirection();
                float alpha = cone->Internal().Angle();

                //compute max height
                CCVector3 maxP(CC.getValue());
                float maxHeight = 0;
                for (size_t j=0; j<shapePointsCount; ++j)
                {
                    float h = cone->Internal().Height(cloud[count-1-j].pos);
                    if (h>maxHeight)
                    {
                        maxHeight=h;
                        maxP = CCVector3(cloud[count-1-j].pos);
                    }
                }

                pcShape->setName(QString("Cone (alpha=%1/h=%2)").arg(alpha,0,'f').arg(maxHeight,0,'f'));

                float radius = tan(alpha)*maxHeight;
                CCVector3 Z = CCVector3(CA.getValue());
                CCVector3 C = CCVector3(CC.getValue()); //cone apex

                //construct remaining of base
                Z.normalize();
                CCVector3 X = maxP - (C + maxHeight * Z);
                X.normalize();
                CCVector3 Y = Z * X;

                //we build matrix from these vecctors
                ccGLMatrix glMat(X,Y,Z,C+(maxHeight*0.5)*Z);

                //cone primitive
                prim = new ccCone(0,radius,maxHeight,0,0,&glMat);
                prim->setEnabled(false);

            }
            break;

            case 4: //torus
            {
                const TorusPrimitiveShape* torus = static_cast<const TorusPrimitiveShape*>(shape);
                if (torus->Internal().IsAppleShaped())
                {
                    m_app->dispToConsole("[qRansacSD] Apple-shaped torus are not handled by CloudCompare!",ccMainAppInterface::WRN_CONSOLE_MESSAGE);
                }
                else
                {
                    Vec3f CC = torus->Internal().Center();
                    Vec3f CA = torus->Internal().AxisDirection();
                    float minRadius = torus->Internal().MinorRadius();
                    float maxRadius = torus->Internal().MajorRadius();

                    pcShape->setName(QString("Torus (r=%1/R=%2)").arg(minRadius,0,'f').arg(maxRadius,0,'f'));

                    CCVector3 Z = CCVector3(CA.getValue());
                    CCVector3 C = CCVector3(CC.getValue());
                    //construct remaining of base
                    CCVector3 X = Z.orthogonal();
                    CCVector3 Y = Z * X;

                    //we build matrix from these vecctors
                    ccGLMatrix glMat(X,Y,Z,C);

                    //torus primitive
                    prim = new ccTorus(maxRadius-minRadius,maxRadius+minRadius,M_PI*2.0,false,0,&glMat);
                    prim->setEnabled(false);
                }

            }
            break;
            }

            //is there a primitive to add to part cloud?
            if (prim)
            {
                prim->applyGLTransformation_recursive();
                pcShape->addChild(prim);
                prim->setDisplay(pcShape->getDisplay());
                prim->setColor(col);
                prim->showColors(true);
                prim->setVisible(true);
            }

            if (!group)
            {
                group = new ccHObject(QString("Ransac Detected Shapes (%1)").arg(ent->getName()));
                m_app->addToDB(group,true,0,false);
            }
            group->addChild(pcShape);
            m_app->addToDB(pcShape,true,0,false);

            count -= shapePointsCount;

            QApplication::processEvents();
        }

        if (group)
        {
            assert(group->getChildrenNumber()!=0);

            //we hide input cloud
            pc->setEnabled(false);
            m_app->dispToConsole("[qRansacSD] Input cloud has been automtically hidden!",ccMainAppInterface::WRN_CONSOLE_MESSAGE);

            //we add new group to DB/display
            group->setVisible(true);
            group->setDisplay_recursive(pc->getDisplay());
            group->prepareDisplayForRefresh_recursive();
            m_app->refreshAll();
        }
    }
}
Ejemplo n.º 4
0
bool RansacShapeDetector::FindBestCandidate(CandidatesType &candidates,
	const MiscLib::Vector< ImmediateOctreeType * > &octrees, const PointCloud &pc,
	ScoreVisitorT &scoreVisitor, size_t currentSize,
	size_t drawnCandidates, size_t numInvalid, size_t minSize, float numLevels,
	float *maxForgottenCandidate, float *candidateFailProb) const
{
	if(!candidates.size())
		return false;
	size_t maxImproveSubsetDuringMaxSearch = octrees.size();
	// sort by expected value
	std::sort(candidates.begin(), candidates.end());
	// check if max is smaller than forgotten candidate
	if(candidates.size() && candidates.back().ExpectedValue() < *maxForgottenCandidate)
	{
		// drawn candidates is wrong!
		// need to correct the value
		drawnCandidates = std::max(candidates.size(), (size_t)1);
		*maxForgottenCandidate = 0;
	}

	MiscLib::Vector< Candidate * > candHeap;
	for(size_t i = candidates.size() - 1; i != -1; --i)
	{
		if(CandidateFailureProbability(
			candidates[i].ExpectedValue(),
			currentSize - numInvalid, drawnCandidates, numLevels) > m_options.m_probability)
			break;
		candHeap.push_back(&candidates[i]);
	}

	if(!candHeap.size())
	{
		return false;
	}

	std::make_heap(candHeap.begin(), candHeap.end(), CandidateHeapPred());

	MiscLib::Vector< Candidate * > beatenCands;
	Candidate *trial = candHeap.front();
	std::pop_heap(candHeap.begin(), candHeap.end(), CandidateHeapPred());
	candHeap.pop_back();
	float bestCandidateFailureProbability;
	while(candHeap.size())
	{
		if(trial->IsEquivalent(*candHeap.front(), pc, m_options.m_epsilon,
			m_options.m_normalThresh))
		{
			std::pop_heap(candHeap.begin(), candHeap.end(),
				CandidateHeapPred());
			candHeap.pop_back();
			continue;
		}
		bool isEquivalent = false;
		for(size_t j = 0; j < beatenCands.size(); ++j)
		{
			if(beatenCands[j]->IsEquivalent(*candHeap.front(), pc,
				m_options.m_epsilon, m_options.m_normalThresh))
			{
				isEquivalent = true;
				break;
			}
		}
		if(isEquivalent)
		{
			std::pop_heap(candHeap.begin(), candHeap.end(),
				CandidateHeapPred());
			candHeap.pop_back();
			continue;
		}
		bestCandidateFailureProbability = CandidateFailureProbability(
			trial->ExpectedValue(),
			currentSize - numInvalid, drawnCandidates, numLevels);
		while((bestCandidateFailureProbability <= m_options.m_probability)
			&& (*trial >= *candHeap.front())
			&& (trial->UpperBound() >= minSize)
			&& trial->ImproveBounds(octrees, pc, scoreVisitor, currentSize,
				m_options.m_bitmapEpsilon, octrees.size()))
		{
			bestCandidateFailureProbability = CandidateFailureProbability(
				trial->ExpectedValue(),
				currentSize - numInvalid, drawnCandidates, numLevels);
		}
		if(bestCandidateFailureProbability <= m_options.m_probability
			&& trial->UpperBound() >= minSize
			&& trial->ComputedSubsets() >= octrees.size()
			&& *trial >= *candHeap.front())
			break;
		if(bestCandidateFailureProbability <= m_options.m_probability
			&& trial->UpperBound() >= minSize)
		{
			candHeap.push_back(trial);
			std::push_heap(candHeap.begin(), candHeap.end(), CandidateHeapPred());
		}
		else if((int)trial->ComputedSubsets()
			> std::max(2, ((int)octrees.size()) - 2))
			beatenCands.push_back(trial);

		//nextCandidate
		trial = candHeap.front();
		std::pop_heap(candHeap.begin(), candHeap.end(), CandidateHeapPred());
		candHeap.pop_back();
	}
	bestCandidateFailureProbability = CandidateFailureProbability(
		trial->ExpectedValue(),
		currentSize - numInvalid, drawnCandidates, numLevels);
	while(bestCandidateFailureProbability <= m_options.m_probability
		&& trial->UpperBound() >= minSize
		&& trial->ImproveBounds(octrees, pc, scoreVisitor, currentSize,
			m_options.m_bitmapEpsilon, octrees.size()))
	{
		bestCandidateFailureProbability = CandidateFailureProbability(
			trial->ExpectedValue(),
			currentSize - numInvalid, drawnCandidates, numLevels);
	}
	if((bestCandidateFailureProbability > m_options.m_probability
		|| trial->UpperBound() < minSize)
		&& (!m_autoAcceptSize || trial->UpperBound() < m_autoAcceptSize))
	{
		return false;
	}
	std::sort(candidates.begin(), candidates.end());

	size_t bestCandidate = candidates.size() - 1;
	bestCandidateFailureProbability = CandidateFailureProbability(
		candidates.back().ExpectedValue(),
		currentSize - numInvalid, drawnCandidates, numLevels);

	for(size_t i = bestCandidate - 1; i != -1; --i)
	{
		float iFailProb = CandidateFailureProbability(candidates[i].ExpectedValue(),
			currentSize - numInvalid, drawnCandidates, numLevels);
		if(iFailProb > m_options.m_probability || candidates[i].UpperBound() < minSize
			|| candidates[i].UpperBound() < candidates[bestCandidate].LowerBound())
			break;
		// check if this is an identical candidate
		if(candidates[bestCandidate].IsEquivalent(candidates[i], pc,
			m_options.m_epsilon, m_options.m_normalThresh))
		{
			continue;
		}
		bool isEquivalent = false;
		for(size_t j = 0; j < beatenCands.size(); ++j)
		{
			if(beatenCands[j]->IsEquivalent(candidates[i], pc,
				m_options.m_epsilon, m_options.m_normalThresh))
			{
				isEquivalent = true;
				break;
			}
		}
		if(isEquivalent)
		{
			continue;
		}
		do
		{
			if(candidates[i].UpperBound() > candidates[bestCandidate].UpperBound()
				&& candidates[i].LowerBound() < candidates[bestCandidate].LowerBound())
			{
				bool dontBreak = candidates[i].ImproveBounds(octrees, pc, scoreVisitor,
						currentSize, m_options.m_bitmapEpsilon,
						maxImproveSubsetDuringMaxSearch);
				iFailProb = CandidateFailureProbability(candidates[i].ExpectedValue(),
					currentSize - numInvalid, drawnCandidates, numLevels);
				if(!dontBreak)
					break;
			}
			else if(candidates[bestCandidate].UpperBound() > candidates[i].UpperBound()
				&& candidates[bestCandidate].LowerBound() < candidates[i].LowerBound())
			{
				bool dontBreak = candidates[bestCandidate].ImproveBounds(octrees, pc,
					scoreVisitor, currentSize, m_options.m_bitmapEpsilon,
					maxImproveSubsetDuringMaxSearch);
				bestCandidateFailureProbability = CandidateFailureProbability(
					candidates[bestCandidate].ExpectedValue(),
					currentSize - numInvalid, drawnCandidates, numLevels);
				if(!dontBreak)
					break;
			}
			else
			{
				bool dontBreak = candidates[bestCandidate].ImproveBounds(octrees, pc,
					scoreVisitor, currentSize, m_options.m_bitmapEpsilon,
					maxImproveSubsetDuringMaxSearch);
				dontBreak = candidates[i].ImproveBounds(octrees, pc, scoreVisitor,
						currentSize, m_options.m_bitmapEpsilon,
						maxImproveSubsetDuringMaxSearch)
					|| dontBreak;
				iFailProb = CandidateFailureProbability(candidates[i].ExpectedValue(),
					currentSize - numInvalid, drawnCandidates, numLevels);
				bestCandidateFailureProbability = CandidateFailureProbability(
					candidates[bestCandidate].ExpectedValue(),
					currentSize - numInvalid, drawnCandidates, numLevels);
				if(!dontBreak)
					break;
			}
		}
		while(bestCandidateFailureProbability <= m_options.m_probability
			&& iFailProb <= m_options.m_probability
			&& candidates[i].UpperBound() >= minSize
			&& candidates[bestCandidate].UpperBound() >= minSize
			&& candidates[i].UpperBound() > candidates[bestCandidate].LowerBound()
			&& candidates[i].LowerBound() < candidates[bestCandidate].UpperBound()
			);
		if((
			candidates[i] > candidates[bestCandidate]
			|| bestCandidateFailureProbability > m_options.m_probability
			|| candidates[bestCandidate].UpperBound() < minSize)
			&& (iFailProb <= m_options.m_probability && candidates[i].UpperBound() >= minSize))
		{
			while(iFailProb <= m_options.m_probability && candidates[i].UpperBound() >= minSize
				&& candidates[i] > candidates[bestCandidate]
				&& candidates[i].ImproveBounds(octrees, pc, scoreVisitor,
					currentSize, m_options.m_bitmapEpsilon, octrees.size()))
			{
				iFailProb = CandidateFailureProbability(candidates[i].ExpectedValue(),
					currentSize - numInvalid, drawnCandidates, numLevels);
			}
			if(candidates[i] > candidates[bestCandidate])
			{
				beatenCands.push_back(&candidates[bestCandidate]);
				bestCandidate = i;
				bestCandidateFailureProbability = iFailProb;
			}
			else
				beatenCands.push_back(&candidates[i]);
		}
		else
			beatenCands.push_back(&candidates[i]);
		if(bestCandidateFailureProbability > m_options.m_probability
			|| candidates[bestCandidate].UpperBound() < minSize)
			break;
	} // end for

	while(candidates[bestCandidate].ImproveBounds(octrees, pc, scoreVisitor,
		currentSize, m_options.m_bitmapEpsilon, octrees.size()));

	bestCandidateFailureProbability = CandidateFailureProbability(
		candidates[bestCandidate].ExpectedValue(),
		currentSize - numInvalid, drawnCandidates, numLevels);

	if((bestCandidateFailureProbability <= m_options.m_probability
		&& candidates[bestCandidate].UpperBound() >= minSize)
		|| (m_autoAcceptSize && candidates[bestCandidate].UpperBound() >= m_autoAcceptSize))
	{
		std::swap(candidates.back(), candidates[bestCandidate]);
		*candidateFailProb = bestCandidateFailureProbability;
		return true;
	}
	std::sort(candidates.begin(), candidates.end()/*, std::greater< Candidate >()*/);
	return false;
}
Ejemplo n.º 5
0
bool Cylinder::InitAverage(const MiscLib::Vector< Vec3f > &samples)
{
	if(samples.size() < 4)
		return false;
	// estimate axis from covariance of normal vectors
	MiscLib::Vector< GfxTL::Vector3Df > normals;
	size_t c = samples.size() / 2;
	for(size_t i = c; i < samples.size(); ++i)
	{
		normals.push_back(GfxTL::Vector3Df(samples[i]));
		normals.push_back(GfxTL::Vector3Df(-samples[i]));
	}
	GfxTL::MatrixXX< 3, 3, float > cov, eigenVectors;
	GfxTL::Vector3Df eigenValues;
	GfxTL::CovarianceMatrix(GfxTL::Vector3Df(0, 0, 0),
		normals.begin(), normals.end(), &cov);
	GfxTL::Jacobi(cov, &eigenValues, &eigenVectors);
	// find the minimal eigenvalue and corresponding vector
	float minEigVal = eigenValues[0];
	unsigned int minEigIdx = 0;
	for(unsigned int i = 1; i < 3; ++i)
		if(eigenValues[i] < minEigVal)
		{
			minEigVal = eigenValues[i];
			minEigIdx = i;
		}
	m_axisDir = Vec3f(eigenVectors[minEigIdx]);
	// get a point on the axis from all pairs
	m_axisPos = Vec3f(0, 0, 0);
	m_radius = 0;
	size_t pointCount = 0;
	size_t pairCount = 0;
	for(size_t i = 0; i < c - 1; ++i)
		for(size_t j = i + 1; j < c; ++j)
		{
			// project first normal into plane
			float l = m_axisDir.dot(samples[i + c]);
			Vec3f xdir = samples[i + c] - l * m_axisDir;
			xdir.normalize();
			Vec3f ydir = m_axisDir.cross(xdir);
			ydir.normalize();
			// xdir is the x axis in the plane (y = 0) samples[i] is the origin
			float lineBnx = ydir.dot(samples[j + c]);
			if(abs(lineBnx) < .05f)
				continue;
			float lineBny = -xdir.dot(samples[j + c]);
			// origin of lineB
			Vec3f originB = samples[j] - samples[i];
			float lineBOx = xdir.dot(originB);
			float lineBOy = ydir.dot(originB);
			float lineBd = lineBnx * lineBOx + lineBny * lineBOy;
			// lineB in the plane complete
			// point of intersection is y = 0 and x = lineBd / lineBnx
			float radius = lineBd / lineBnx;
			m_axisPos += samples[i] + radius * xdir;
			m_radius += abs(radius);
			m_radius += std::sqrt((radius - lineBOx) * (radius - lineBOx) + lineBOy * lineBOy);
			++pointCount;
		}
	if(!pointCount)
		return false;
	m_axisPos /= pointCount;
	m_radius /= pointCount * 2;
	if(m_radius > 1e6)
		return false;

	// find point on axis closest to origin
	float lambda = m_axisDir.dot(-m_axisPos);
	m_axisPos = m_axisPos + lambda * m_axisDir;

	m_hcs.FromNormal(m_axisDir);
	m_angularRotatedRadians = 0;
	return true;
}