本文整理汇总了C++中ScalarField::computeMinAndMax方法的典型用法代码示例。如果您正苦于以下问题：C++ ScalarField::computeMinAndMax方法的具体用法？C++ ScalarField::computeMinAndMax怎么用？C++ ScalarField::computeMinAndMax使用的例子？那么, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类ScalarField的用法示例。
在下文中一共展示了ScalarField::computeMinAndMax方法的1个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的C++代码示例。
示例1: RegisterClouds
ICPRegistrationTools::CC_ICP_RESULT ICPRegistrationTools::RegisterClouds(GenericIndexedCloudPersist* _modelCloud,
GenericIndexedCloudPersist* _dataCloud,
PointProjectionTools::Transformation& transform,
CC_ICP_CONVERGENCE_TYPE convType,
double minErrorDecrease,
unsigned nbMaxIterations,
double& finalError,
GenericProgressCallback* progressCb/*=0*/,
bool filterOutFarthestPoints/*=false*/,
unsigned samplingLimit/*=20000*/,
ScalarField* modelWeights/*=0*/,
ScalarField* dataWeights/*=0*/)
{
assert(_modelCloud && _dataCloud);
finalError = -1.0;
//MODEL CLOUD (reference, won't move)
GenericIndexedCloudPersist* modelCloud=_modelCloud;
ScalarField* _modelWeights=modelWeights;
{
if (_modelCloud->size()>samplingLimit) //shall we resample the clouds? (speed increase)
{
ReferenceCloud* subModelCloud = CloudSamplingTools::subsampleCloudRandomly(_modelCloud,samplingLimit);
if (subModelCloud && modelWeights)
{
_modelWeights = new ScalarField("ResampledModelWeights",modelWeights->isPositive());
unsigned realCount = subModelCloud->size();
if (_modelWeights->reserve(realCount))
{
for (unsigned i=0;i<realCount;++i)
_modelWeights->addElement(modelWeights->getValue(subModelCloud->getPointGlobalIndex(i)));
_modelWeights->computeMinAndMax();
}
else
{
//not enough memory
delete subModelCloud;
subModelCloud=0;
}
}
modelCloud = subModelCloud;
}
if (!modelCloud) //something bad happened
return ICP_ERROR_NOT_ENOUGH_MEMORY;
}
//DATA CLOUD (will move)
ReferenceCloud* dataCloud=0;
ScalarField* _dataWeights=dataWeights;
SimpleCloud* rotatedDataCloud=0; //temporary structure (rotated vertices)
{
if (_dataCloud->size()>samplingLimit) //shall we resample the clouds? (speed increase)
{
dataCloud = CloudSamplingTools::subsampleCloudRandomly(_dataCloud,samplingLimit);
if (dataCloud && dataWeights)
{
_dataWeights = new ScalarField("ResampledDataWeights",dataWeights->isPositive());
unsigned realCount = dataCloud->size();
if (_dataWeights->reserve(realCount))
{
for (unsigned i=0;i<realCount;++i)
_dataWeights->addElement(dataWeights->getValue(dataCloud->getPointGlobalIndex(i)));
_dataWeights->computeMinAndMax();
}
else
{
//not enough memory
delete dataCloud;
dataCloud=0;
}
}
}
else
{
//create a 'fake' reference cloud with all points
dataCloud = new ReferenceCloud(_dataCloud);
if (dataCloud->reserve(_dataCloud->size()))
{
dataCloud->addPointIndex(0,_dataCloud->size());
}
else //not enough memory
{
delete dataCloud;
dataCloud=0;
}
}
if (!dataCloud || !dataCloud->enableScalarField()) //something bad happened
{
if (dataCloud)
delete dataCloud;
if (modelCloud && modelCloud != _modelCloud)
delete modelCloud;
if (_modelWeights && _modelWeights!=modelWeights)
_modelWeights->release();
return ICP_ERROR_NOT_ENOUGH_MEMORY;
}
}
//.........这里部分代码省略.........