cv.FREAK - mexopencv

Class implementing the FREAK (Fast Retina Keypoint) keypoint descriptor

As described in [AOV12].

The algorithm propose a novel keypoint descriptor inspired by the human visual system and more precisely the retina, coined Fast Retina Key-point (FREAK). A cascade of binary strings is computed by efficiently comparing image intensities over a retinal sampling pattern. FREAKs are in general faster to compute with lower memory load and also more robust than cv.SIFT, cv.SURF or cv.BRISK. They are competitive alternatives to existing keypoints in particular for embedded applications.

References

[AOV12]:

Alexandre Alahi, Raphael Ortiz, and Pierre Vandergheynst. "Freak: Fast retina keypoint". In Computer Vision and Pattern Recognition (CVPR), 2012 IEEE Conference on, pages 510-517. IEEE, 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)