cv::face::Facemark クラス

Abstract base class for all facemark models [詳解]

#include <facemark.hpp>

cv::Algorithmを継承しています。

cv::face::FacemarkKazemi, cv::face::FacemarkTrainに継承されています。

公開メンバ関数
virtual CV_WRAP void	loadModel (String model)=0
	A function to load the trained model before the fitting process. [詳解]
virtual CV_WRAP bool	fit (InputArray image, InputArray faces, OutputArrayOfArrays landmarks)=0
	Detect facial landmarks from an image. [詳解]
基底クラス cv::Algorithm に属する継承公開メンバ関数
virtual CV_WRAP void	clear ()
	Clears the algorithm state [詳解]
virtual void	write (FileStorage &fs) const
	Stores algorithm parameters in a file storage [詳解]
CV_WRAP void	write (const Ptr< FileStorage > &fs, const String &name=String()) const
	simplified API for language bindings これはオーバーロードされたメンバ関数です。利便性のために用意されています。元の関数との違いは引き数のみです。
virtual CV_WRAP void	read (const FileNode &fn)
	Reads algorithm parameters from a file storage [詳解]
virtual CV_WRAP bool	empty () const
	Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read [詳解]
virtual CV_WRAP void	save (const String &filename) const
virtual CV_WRAP String	getDefaultName () const

その他の継承メンバ
基底クラス cv::Algorithm に属する継承静的公開メンバ関数
template<typename _Tp >
static Ptr< _Tp >	read (const FileNode &fn)
	Reads algorithm from the file node [詳解]
template<typename _Tp >
static Ptr< _Tp >	load (const String &filename, const String &objname=String())
	Loads algorithm from the file [詳解]
template<typename _Tp >
static Ptr< _Tp >	loadFromString (const String &strModel, const String &objname=String())
	Loads algorithm from a String [詳解]
基底クラス cv::Algorithm に属する継承限定公開メンバ関数
void	writeFormat (FileStorage &fs) const

詳解

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.

関数詳解

fit()

virtual CV_WRAP bool cv::face::Facemark::fit ( InputArray  image, InputArray  faces, OutputArrayOfArrays  landmarks  )

pure virtual

Detect facial landmarks from an image.

引数

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()

virtual CV_WRAP void cv::face::Facemark::loadModel ( String  model )

pure virtual

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

引数

model

A string represent the filename of a trained model.

Example of usage

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

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このクラス詳解は次のファイルから抽出されました:

• facemark.hpp