cv.FacemarkKazemi - mexopencv

Face Alignment

An implementation of state of the art face alignment technique proposed by [Kazemi2014].

The paper demonstrates how an ensemble of regression trees can be used to estimate the face's landmark positions directly from a sparse subset of pixel intensities, achieving super-realtime performance with high-quality predictions.

Face Alignment

Face alignment is a computer vision technology for identifying the geometric structure of human faces in digital images. Given the location and size of a face, it automatically determines the shape of the face components such as eyes, nose, and lips.

A face alignment program typically operates by iteratively adjusting a deformable models, which encodes the prior knowledge of face shape or appearance, to take into account the low-level image evidences and find the face that is present in the image.

References

[Kazemi2014]:

Vahid Kazemi and Josephine Sullivan, "One Millisecond Face Alignment with an Ensemble of Regression Trees", CVPR 2014. PDF

Superclasses	handle
Sealed	false
Construct on load	false

func	name of custom face detector function
id	Object ID

	addlistener	Add listener for event.
	delete	Destructor
	eq	== (EQ) Test handle equality.
	findobj	Find objects matching specified conditions.
	findprop	Find property of MATLAB handle object.
	fit	Retrieves a centered and scaled face shape, according to the bounding rectangle
	ge	>= (GE) Greater than or equal relation for handles.
	getFaces	Detect faces using the custom detector
	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.
	loadModel	Load the trained model
	lt	< (LT) Less than relation for handles.
	ne	~= (NE) Not equal relation for handles.
	notify	Notify listeners of event.
	setFaceDetector	Set the custom face detector
	training	Trains a facemark model