furniture_classification: Class Members - Functions

- a -

addObjectFullModel() : pcl17::PHVObjectClassifier< PointT, PointNormalT, FeatureT >
addObjectPartialView() : pcl17::PHVObjectClassifier< PointT, PointNormalT, FeatureT >
appendFeaturesFromCloud() : pcl17::PHVObjectClassifier< PointT, PointNormalT, FeatureT >

- c -

classify() : pcl17::PHVObjectClassifier< PointT, PointNormalT, FeatureT >
cloud_cb() : ConvertNode , HypothesisGeneratorNode< FeatureType, FeatureEstimatorType > , FitModelsNode< FeatureType, FeatureEstimatorType >
cloud_hp() : FitModelsNode< FeatureType, FeatureEstimatorType > , SplitHypothesis
clusterFeatures() : pcl17::PHVObjectClassifier< PointT, PointNormalT, FeatureT >
computeClassifier() : pcl17::PHVObjectClassifier< PointT, PointNormalT, FeatureT >
computeExternalClassifier() : pcl17::PHVObjectClassifier< PointT, PointNormalT, FeatureT >
computeModel() : pcl17::RandomSampleConsensusSimple< PointT >
computeModelCoefficients() : pcl17::RandomSampleConsensusSimple< PointT > , pcl17::SampleConsensusModel3DOF< PointT >
ConvertNode() : ConvertNode
countScore() : pcl17::RandomSampleConsensusSimple< PointT >
countWithinDistance() : pcl17::SampleConsensusModel3DOF< PointT >

- d -

doSamplesVerifyModel() : pcl17::SampleConsensusModel3DOF< PointT >

- e -

estimateNormalsAndSubsample() : pcl17::PHVObjectClassifier< PointT, PointNormalT, FeatureT >
eval_clustering() : pcl17::PHVObjectClassifier< PointT, PointNormalT, FeatureT >
eval_clustering_external() : pcl17::PHVObjectClassifier< PointT, PointNormalT, FeatureT >

- f -

FilterNode() : FilterNode
findLocalMaximaInGrid() : pcl17::PHVObjectClassifier< PointT, PointNormalT, FeatureT >
findVotedSegments() : pcl17::PHVObjectClassifier< PointT, PointNormalT, FeatureT >
fit_objects() : pcl17::PHVObjectClassifier< PointT, PointNormalT, FeatureT >
FitModelsNode() : FitModelsNode< FeatureType, FeatureEstimatorType >
fitModelsWithRansac() : pcl17::PHVObjectClassifier< PointT, PointNormalT, FeatureT >

- g -

generate_hypothesis() : pcl17::PHVObjectClassifier< PointT, PointNormalT, FeatureT >
generateVisibilityScore() : pcl17::PHVObjectClassifier< PointT, PointNormalT, FeatureT > , pcl17::SampleConsensusModel3DOF< PointT > , pcl17::RandomSampleConsensusSimple< PointT >
getBestModelCoeficients() : pcl17::RandomSampleConsensusSimple< PointT >
getBestScore() : pcl17::RandomSampleConsensusSimple< PointT >
getDatabaseDir() : pcl17::PHVObjectClassifier< PointT, PointNormalT, FeatureT >
getDebug() : pcl17::PHVObjectClassifier< PointT, PointNormalT, FeatureT >
getDebugFolder() : pcl17::PHVObjectClassifier< PointT, PointNormalT, FeatureT >
getDistancesToModel() : pcl17::SampleConsensusModel3DOF< PointT >
getFeatureEstimator() : pcl17::PHVObjectClassifier< PointT, PointNormalT, FeatureT >
getFoundObjects() : pcl17::PHVObjectClassifier< PointT, PointNormalT, FeatureT >
getLocalMaximaGrid() : pcl17::PHVObjectClassifier< PointT, PointNormalT, FeatureT >
getLocalMaximaThreshold() : pcl17::PHVObjectClassifier< PointT, PointNormalT, FeatureT >
getMaxIterations() : pcl17::RandomSampleConsensusSimple< PointT >
getModel() : pcl17::RandomSampleConsensusSimple< PointT >
getModelType() : pcl17::SampleConsensusModel3DOF< PointT >
getNumberOfClusters() : pcl17::PHVObjectClassifier< PointT, PointNormalT, FeatureT >
getSampleSize() : pcl17::SampleConsensusModel3DOF< PointT >
getScene() : pcl17::PHVObjectClassifier< PointT, PointNormalT, FeatureT >
getSegmentsFromCloud() : pcl17::PHVObjectClassifier< PointT, PointNormalT, FeatureT >
getTarget() : pcl17::SampleConsensusModel3DOF< PointT >

- h -

HypothesisGeneratorNode() : HypothesisGeneratorNode< FeatureType, FeatureEstimatorType >

- i -

intersectXY() : pcl17::PHVObjectClassifier< PointT, PointNormalT, FeatureT > , FilterNode
isClassifierComputed() : pcl17::PHVObjectClassifier< PointT, PointNormalT, FeatureT >
isModelValid() : pcl17::SampleConsensusModel3DOF< PointT >
isSampleGood() : pcl17::RandomSampleConsensusSimple< PointT > , pcl17::SampleConsensusModel3DOF< PointT >

- l -

loadFromFile() : pcl17::PHVObjectClassifier< PointT, PointNormalT, FeatureT >

- m -

models_cb() : FilterNode

- n -

normalizeFeatures() : pcl17::PHVObjectClassifier< PointT, PointNormalT, FeatureT >
normalizeFeaturesWithCurrentMinMax() : pcl17::PHVObjectClassifier< PointT, PointNormalT, FeatureT >

- o -

optimizeModelCoefficients() : pcl17::SampleConsensusModel3DOF< PointT >

- p -

PHVObjectClassifier() : pcl17::PHVObjectClassifier< PointT, PointNormalT, FeatureT >
projectPoints() : pcl17::SampleConsensusModel3DOF< PointT >
projectVotesToGrid() : pcl17::PHVObjectClassifier< PointT, PointNormalT, FeatureT >

- r -

RandomSampleConsensusSimple() : pcl17::RandomSampleConsensusSimple< PointT >
removeIntersecting() : FilterNode , pcl17::PHVObjectClassifier< PointT, PointNormalT, FeatureT >

- s -

SampleConsensusModel3DOF() : pcl17::SampleConsensusModel3DOF< PointT >
saveToFile() : pcl17::PHVObjectClassifier< PointT, PointNormalT, FeatureT >
selectWithinDistance() : pcl17::SampleConsensusModel3DOF< PointT >
setDatabaseDir() : pcl17::PHVObjectClassifier< PointT, PointNormalT, FeatureT >
setDebug() : pcl17::PHVObjectClassifier< PointT, PointNormalT, FeatureT >
setDebugFolder() : pcl17::PHVObjectClassifier< PointT, PointNormalT, FeatureT >
setFeatureEstimator() : pcl17::PHVObjectClassifier< PointT, PointNormalT, FeatureT >
setLocalMaximaThreshold() : pcl17::PHVObjectClassifier< PointT, PointNormalT, FeatureT >
setMaxIterations() : pcl17::RandomSampleConsensusSimple< PointT >
setModel() : pcl17::RandomSampleConsensusSimple< PointT >
setNumberOfClusters() : pcl17::PHVObjectClassifier< PointT, PointNormalT, FeatureT >
setScene() : pcl17::RandomSampleConsensusSimple< PointT > , pcl17::PHVObjectClassifier< PointT, PointNormalT, FeatureT >
setSceneSegment() : pcl17::RandomSampleConsensusSimple< PointT >
setTarget() : pcl17::SampleConsensusModel3DOF< PointT >
setTargetIndices() : pcl17::SampleConsensusModel3DOF< PointT >
setWeight() : pcl17::RandomSampleConsensusSimple< PointT >
SplitHypothesis() : SplitHypothesis

- v -

vote() : pcl17::PHVObjectClassifier< PointT, PointNormalT, FeatureT >
vote_external() : pcl17::PHVObjectClassifier< PointT, PointNormalT, FeatureT >

- ~ -

~PHVObjectClassifier() : pcl17::PHVObjectClassifier< PointT, PointNormalT, FeatureT >

All Classes Namespaces Files Functions Variables Typedefs Enumerations Properties Friends Defines

furniture_classification
Author(s): Vladyslav Usenko
autogenerated on Sun Oct 6 2013 12:12:34