cv.GFTTDetector - mexopencv

Wrapping class for feature detection using the goodFeaturesToTrack function

The function finds the most prominent corners in the image or in the specified image region, as described in [Shi94]:

Function calculates the corner quality measure at every source image pixel using the cv.cornerMinEigenVal or cv.cornerHarris.
Function performs a non-maximum suppression (the local maximums in 3x3 neighborhood are retained).
The corners with the minimal eigenvalue less than QualityLevel * max_{x,y}(qualityMeasureMap(x,y)) are rejected.
The remaining corners are sorted by the quality measure in the descending order.
Function throws away each corner for which there is a stronger corner at a distance less than maxDistance.

References

[Shi94]:

Jianbo Shi and Carlo Tomasi. "Good features to track". In Computer Vision and Pattern Recognition, 1994. Proceedings CVPR'94., 1994 IEEE Computer Society Conference on, pages 593-600. IEEE, 1994.

Superclasses	handle
Sealed	false
Construct on load	false

BlockSize	Size of an average block for computing a derivative covariation
HarrisDetector	Parameter indicating whether to use a Harris detector
K	Free parameter of the Harris detector.
MaxFeatures	Maximum number of corners to return.
MinDistance	Minimum possible Euclidean distance between the returned corners.
QualityLevel	Parameter characterizing the minimal accepted quality of image
id	Object ID

	addlistener	Add listener for event.
	clear	Clears the algorithm state
	delete	Destructor
	detect	Detects keypoints in an image or image set
	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)