Data Structures

Here are the data structures with brief descriptions:

C_VlAIB	AIB algorithm data
C_VlArray	Numeric array
C_VlCovDet	Covariant feature detector
C_VlCovDetFeature	A detected feature shape and location
C_VlCovDetFeatureLaplacianScale	A detected feature Laplacian scale
C_VlCovDetFeatureOrientation	A detected feature orientation
C_VlEnumerator	Member of an enumeration
C_VlFrameDisc	Disc feature frame
C_VlFrameEllipse	Ellipse feature frame
C_VlFrameOrientedDisc	Oriented disc feature frame An upright frame has angle equal to zero
C_VlFrameOrientedEllipse	Oriented ellipse feature frame The affine transformation transforms the ellipse shape into a circular region
C_VlHIKMNode	HIKM tree node
C_VlHIKMTree	HIKM tree
C_VlIKMFilt	IKM quantizer
C_VlKDForest	KDForest object
C_VlKDForestNeighbor	Neighbor of a query point
C_VlKDForestSearcher	::VlKDForest searcher object
C_VlKMeans	K-means quantizer
C_VlLiopDesc	LIOP descriptor extractor object
C_VlPgmImage	PGM image meta data
C_VlQS	Quick shift results
C_VlRand	Random numbber generator state
C_VlScaleSpaceGeometry	Geometry of a scale space
C_VlScaleSpaceOctaveGeometry	Geometry of one octave of a scale space
CVlFileMeta	Support for command line drivers - Definition
CVlLbp_	Local Binary Pattern extractor
CVlMserExtrReg	MSER: extremal region (declaration)
CVlMserFilt	MSER filter
CVlMserReg	MSER: basic region (declaration)
CVlMserStats	MSER filter statistics definition
CvlmxOption	MEX option
CVlScaleSpace	Scale space class
CVlSvmStatistics_	SVM statistics This structure contains statistics characterising the state of the SVM solver, such as the current value of the objective function