RobustEstimationConfig

configuration parameters for robust estimation

Name	ToolTip	Associated Class	Default Value
Type	algorithm type associated to robust estimation	eRobustEstimationType	ipsdk::math::eRobustEstimationType::eRET_NonRobust
OutlierThreshold	threshold for outliers detection	real
GaussianSigma	used sigma for gaussian noise estimation	real
OutlierRangeFactor	used outlier range factor for processing	real
ExpectedOutlierRatio	expected outlier ratio over population	real
AllowSimpleEstimation	flag indicating whether simple estimation is allowed in case of small dataset without enough data to ensure robust processing	boolean	true
SuccessRatio	algorithm statistical success ratio parameter	real	0.99
DataPartitionConfig	configuration for data partition algorithm associated to robust estimation	RobustDataPartitionConfig	*ipsdkimaproc::attr::createDefaultRobustDataPartitionConfig()
TranslationThetaThreshold	Angle tolerance to filter the matches for pure translation estimation.	real	0.05
TranslationAbsMax	Maximum translation constraint (in absolute values) for pure translation estimation (ignored if equals -1)	real	-1.
TranslationMatchRatio	Minimum matches validated by TranslationThetaThreshold for pure translation estimation.	real	0.1