Main Page
Namespaces
Classes
Files
Class List
Class Members
All
Functions
Variables
Typedefs
Related Functions
a
c
d
e
f
g
h
i
k
l
m
n
o
p
r
s
v
~
- 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_cb_() :
SimpleOpenNIViewer< 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::SampleConsensusModel3DOF< PointT >
,
pcl17::RandomSampleConsensusSimple< PointT >
convert() :
SimpleOpenNIViewer< FeatureType, FeatureEstimatorType >
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 >
- k -
keyboard_cb() :
SimpleOpenNIViewer< FeatureType, FeatureEstimatorType >
- 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() :
pcl17::PHVObjectClassifier< PointT, PointNormalT, FeatureT >
,
FilterNode
run() :
SimpleOpenNIViewer< FeatureType, FeatureEstimatorType >
- 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::PHVObjectClassifier< PointT, PointNormalT, FeatureT >
,
pcl17::RandomSampleConsensusSimple< PointT >
setSceneSegment() :
pcl17::RandomSampleConsensusSimple< PointT >
setTarget() :
pcl17::SampleConsensusModel3DOF< PointT >
setTargetIndices() :
pcl17::SampleConsensusModel3DOF< PointT >
setWeight() :
pcl17::RandomSampleConsensusSimple< PointT >
SimpleOpenNIViewer() :
SimpleOpenNIViewer< FeatureType, FeatureEstimatorType >
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 Thu May 23 2013 18:32:33