OpenCVForUnity.FaceModule.Facemark Class Reference

Abstract base class for all facemark models. More...

Public Member Functions
bool	fit (Mat image, MatOfRect faces, List< MatOfPoint2f > landmarks)
	Detect facial landmarks from an image.
void	loadModel (string model)
	A function to load the trained model before the fitting process.
Public Member Functions inherited from OpenCVForUnity.CoreModule.Algorithm
virtual void	clear ()
	Clears the algorithm state.
virtual bool	empty ()
	Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read.
virtual string	getDefaultName ()
IntPtr	getNativeObjAddr ()
void	save (string filename)
Public Member Functions inherited from OpenCVForUnity.DisposableObject
void	Dispose ()
void	ThrowIfDisposed ()

Static Public Member Functions
static new Facemark	__fromPtr__ (IntPtr addr)
Static Public Member Functions inherited from OpenCVForUnity.CoreModule.Algorithm
static Algorithm	__fromPtr__ (IntPtr addr)
Static Public Member Functions inherited from OpenCVForUnity.DisposableObject
static IntPtr	ThrowIfNullIntPtr (IntPtr ptr)

Protected Member Functions
override void	Dispose (bool disposing)
Protected Member Functions inherited from OpenCVForUnity.CoreModule.Algorithm
Protected Member Functions inherited from OpenCVForUnity.DisposableOpenCVObject
	DisposableOpenCVObject ()
	DisposableOpenCVObject (bool isEnabledDispose)
	DisposableOpenCVObject (IntPtr ptr)
	DisposableOpenCVObject (IntPtr ptr, bool isEnabledDispose)
Protected Member Functions inherited from OpenCVForUnity.DisposableObject
	DisposableObject ()
	DisposableObject (bool isEnabledDispose)

Additional Inherited Members
Package Functions inherited from OpenCVForUnity.CoreModule.Algorithm
Package Attributes inherited from OpenCVForUnity.DisposableOpenCVObject
Properties inherited from OpenCVForUnity.DisposableObject
bool	IsDisposed [get, protected set]
bool	IsEnabledDispose [get, set]

Detailed Description

Abstract base class for all facemark models.

To utilize this API in your program, please take a look at the tutorial_table_of_content_facemark

Description

Facemark is a base class which provides universal access to any specific facemark algorithm. Therefore, the users should declare a desired algorithm before they can use it in their application.

Here is an example on how to declare a facemark algorithm:

// Using Facemark in your code:
Ptr<Facemark> facemark = createFacemarkLBF();

The typical pipeline for facemark detection is as follows:

• Load the trained model using Facemark.loadModel.
• Perform the fitting on an image via Facemark.fit.

Member Function Documentation

__fromPtr__()

static new Facemark OpenCVForUnity.FaceModule.Facemark.__fromPtr__ ( IntPtr addr )

static

Dispose()

override void OpenCVForUnity.FaceModule.Facemark.Dispose ( bool disposing )

protectedvirtual

Reimplemented from OpenCVForUnity.CoreModule.Algorithm.

Reimplemented in OpenCVForUnity.FaceModule.FacemarkAAM, OpenCVForUnity.FaceModule.FacemarkKazemi, OpenCVForUnity.FaceModule.FacemarkLBF, and OpenCVForUnity.FaceModule.FacemarkTrain.

fit()

bool OpenCVForUnity.FaceModule.Facemark.fit	(	Mat	image,
		MatOfRect	faces,
		List< MatOfPoint2f >	landmarks )

Detect facial landmarks from an image.

Parameters

image	Input image.
faces	Output of the function which represent region of interest of the detected faces. Each face is stored in cv::Rect container.
landmarks	The detected landmark points for each faces.

Example of usage

Mat image = imread("image.jpg");
std::vector<Rect> faces;
std::vector<std::vector<Point2f> > landmarks;
facemark->fit(image, faces, landmarks);

loadModel()

void OpenCVForUnity.FaceModule.Facemark.loadModel

(

string

model

)

A function to load the trained model before the fitting process.

Parameters

model

A string represent the filename of a trained model.

Example of usage

facemark->loadModel("../data/lbf.model");

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The documentation for this class was generated from the following file:

• OpenCVForUnity/Assets/OpenCVForUnity/org/opencv_contrib/face/Facemark.cs