getPose( mrpt::poses::CPointPDFGaussian &p
getPose( mrpt::poses::CPoint3D &p
&COV ) const
( !features.empty() ); ASSERT_
A system independent time type, it holds the the number of 100-nanosecond intervals since January 1...
mrpt::vision::TFeatureType getType() const
Gets the type of the first feature in its feature vector.
static TLandmarkID m_counterIDs
Creates one feature in the vector "features", calling the appropriate constructor of the smart pointe...
The virtual base class which provides a unified interface for all persistent objects in MRPT...
Backward compatible typedef.
The mean value.
The type for the IDs of landmarks.
#define DEFINE_SERIALIZABLE_PRE_CUSTOM_BASE_LINKAGE(class_name, base_name, _LINKAGE_)
This declaration must be inserted in all CSerializable classes definition, before the class declarati...
The 3x3 covariance matrix.
CMatrixTemplateNumeric< double > CMatrixDouble
Declares a matrix of double numbers (non serializable).
A generic 2D feature from an image, extracted with CFeatureExtraction Each feature may have one or mo...
Types of features - This means that the point has been detected with this algorithm, which is independent of additional descriptors a feature may also have.
The class for storing "landmarks" (visual or laser-scan-extracted features,...)
This declaration must be inserted in all CSerializable classes definition, within the class declarati...
unsigned __int32 uint32_t
#define DEFINE_SERIALIZABLE_POST_CUSTOM_BASE_LINKAGE(class_name, base_name, _LINKAGE_)
A gaussian distribution for 3D points.