cv::face Namespace Reference

Classes
class	BasicFaceRecognizer
class	BIF
struct	CParams
class	EigenFaceRecognizer
class	Facemark
	Abstract base class for all facemark models. More...
class	FacemarkAAM
class	FacemarkKazemi
class	FacemarkLBF
class	FacemarkTrain
	Abstract base class for trainable facemark models. More...
class	FaceRecognizer
	Abstract base class for all face recognition models. More...
class	FisherFaceRecognizer
class	LBPHFaceRecognizer
class	MACE
	Minimum Average Correlation Energy Filter useful for authentication with (cancellable) biometrical features. (does not need many positives to train (10-50), and no negatives at all, also robust to noise/salting) More...
class	PredictCollector
	Abstract base class for all strategies of prediction result handling. More...
class	StandardCollector
	Default predict collector. More...

Typedefs
typedef bool(*	FN_FaceDetector) (InputArray, OutputArray, void *userData)

Functions
Ptr< Facemark >	createFacemarkAAM ()
	construct an AAM facemark detector More...
Ptr< Facemark >	createFacemarkKazemi ()
	construct a Kazemi facemark detector More...
Ptr< Facemark >	createFacemarkLBF ()
	construct an LBF facemark detector More...
void	drawFacemarks (InputOutputArray image, InputArray points, Scalar color=Scalar(255, 0, 0))
	Utility to draw the detected facial landmark points. More...
bool	getFaces (InputArray image, OutputArray faces, CParams *params)
	Default face detector This function is mainly utilized by the implementation of a Facemark Algorithm. End users are advised to use function Facemark::getFaces which can be manually defined and circumvented to the algorithm by Facemark::setFaceDetector. More...
bool	getFacesHAAR (InputArray image, OutputArray faces, const String &face_cascade_name)
bool	loadDatasetList (String imageList, String annotationList, std::vector< String > &images, std::vector< String > &annotations)
	A utility to load list of paths to training image and annotation file. More...
bool	loadFacePoints (String filename, OutputArray points, float offset=0.0f)
	A utility to load facial landmark information from a given file. More...
bool	loadTrainingData (String filename, std::vector< String > &images, OutputArray facePoints, char delim=' ', float offset=0.0f)
	A utility to load facial landmark dataset from a single file. More...
bool	loadTrainingData (String imageList, String groundTruth, std::vector< String > &images, OutputArray facePoints, float offset=0.0f)
	A utility to load facial landmark information from the dataset. More...
bool	loadTrainingData (std::vector< String > filename, std::vector< std::vector< Point2f > > &trainlandmarks, std::vector< String > &trainimages)
	This function extracts the data for training from .txt files which contains the corresponding image name and landmarks. The first file in each file should give the path of the image whose landmarks are being described in the file. Then in the subsequent lines there should be coordinates of the landmarks in the image i.e each line should be of the form x,y where x represents the x coordinate of the landmark and y represents the y coordinate of the landmark. More...

Function Documentation

createFacemarkAAM()

Ptr<Facemark> cv::face::createFacemarkAAM

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Python:
	retval	=	cv.face.createFacemarkAAM(		)

construct an AAM facemark detector

createFacemarkKazemi()

Ptr<Facemark> cv::face::createFacemarkKazemi

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Python:
	retval	=	cv.face.createFacemarkKazemi(		)

construct a Kazemi facemark detector

createFacemarkLBF()

Ptr<Facemark> cv::face::createFacemarkLBF

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Python:
	retval	=	cv.face.createFacemarkLBF(		)

construct an LBF facemark detector