cv.LUCID - mexopencv

Class implementing the Locally Uniform Comparison Image Descriptor

As described in [LUCID].

An image descriptor that can be computed very fast, while being about as robust as, for example, cv.SURF or cv.BriefDescriptorExtractor.

LUCID is a simple description method based on linear time permutation distances between the ordering of RGB values of two image patches. LUCID is computable in linear time with respect to the number of pixels and does not require floating-point computation.

Note: It requires a color image as input.

References

[LUCID]:

Andrew Ziegler, Eric Christiansen, David Kriegman, Serge J. Belongie. "Locally Uniform Comparison Image Descriptor". In Advances in Neural Information Processing Systems, pp. 1-9. 2012.

Superclasses	handle
Sealed	false
Construct on load	false

	addlistener	Add listener for event.
	clear	Clears the algorithm state
	compute	Computes the descriptors for a set of keypoints detected in an image or image set
	defaultNorm	Returns the default norm type
	delete	Destructor
	descriptorSize	Returns the descriptor size in bytes
	descriptorType	Returns the descriptor type
	empty	Checks if detector object is empty
	eq	== (EQ) Test handle equality.
	findobj	Find objects matching specified conditions.
	findprop	Find property of MATLAB handle object.
	ge	>= (GE) Greater than or equal relation for handles.
	getDefaultName	Returns the algorithm string identifier
	gt	> (GT) Greater than relation for handles.
Sealed	isvalid	Test handle validity.
	le	<= (LE) Less than or equal relation for handles.
	listener	Add listener for event without binding the listener to the source object.
	load	Loads algorithm from a file or a string
	lt	< (LT) Less than relation for handles.
	ne	~= (NE) Not equal relation for handles.
	notify	Notify listeners of event.
	save	Saves the algorithm parameters to a file
	typeid	Name of the C++ type (RTTI)