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- /*
- By downloading, copying, installing or using the software you agree to this
- license. If you do not agree to this license, do not download, install,
- copy or use the software.
- License Agreement
- For Open Source Computer Vision Library
- (3-clause BSD License)
- Copyright (C) 2013, OpenCV Foundation, all rights reserved.
- Third party copyrights are property of their respective owners.
- Redistribution and use in source and binary forms, with or without modification,
- are permitted provided that the following conditions are met:
- * Redistributions of source code must retain the above copyright notice,
- this list of conditions and the following disclaimer.
- * Redistributions in binary form must reproduce the above copyright notice,
- this list of conditions and the following disclaimer in the documentation
- and/or other materials provided with the distribution.
- * Neither the names of the copyright holders nor the names of the contributors
- may be used to endorse or promote products derived from this software
- without specific prior written permission.
- This software is provided by the copyright holders and contributors "as is" and
- any express or implied warranties, including, but not limited to, the implied
- warranties of merchantability and fitness for a particular purpose are
- disclaimed. In no event shall copyright holders or contributors be liable for
- any direct, indirect, incidental, special, exemplary, or consequential damages
- (including, but not limited to, procurement of substitute goods or services;
- loss of use, data, or profits; or business interruption) however caused
- and on any theory of liability, whether in contract, strict liability,
- or tort (including negligence or otherwise) arising in any way out of
- the use of this software, even if advised of the possibility of such damage.
- This file was part of GSoC Project: Facemark API for OpenCV
- Final report: https://gist.github.com/kurnianggoro/74de9121e122ad0bd825176751d47ecc
- Student: Laksono Kurnianggoro
- Mentor: Delia Passalacqua
- */
- #ifndef __OPENCV_FACEMARK_AAM_HPP__
- #define __OPENCV_FACEMARK_AAM_HPP__
- #include "opencv2/face/facemark_train.hpp"
- namespace cv {
- namespace face {
- //! @addtogroup face
- //! @{
- class CV_EXPORTS_W FacemarkAAM : public FacemarkTrain
- {
- public:
- struct CV_EXPORTS Params
- {
- /**
- * \brief Constructor
- */
- Params();
- /**
- * \brief Read parameters from file, currently unused
- */
- void read(const FileNode& /*fn*/);
- /**
- * \brief Read parameters from file, currently unused
- */
- void write(FileStorage& /*fs*/) const;
- std::string model_filename;
- int m;
- int n;
- int n_iter;
- bool verbose;
- bool save_model;
- int max_m, max_n, texture_max_m;
- std::vector<float>scales;
- };
- /**
- * \brief Optional parameter for fitting process.
- */
- struct CV_EXPORTS Config
- {
- Config( Mat rot = Mat::eye(2,2,CV_32F),
- Point2f trans = Point2f(0.0f, 0.0f),
- float scaling = 1.0f,
- int scale_id=0
- );
- Mat R;
- Point2f t;
- float scale;
- int model_scale_idx;
- };
- /**
- * \brief Data container for the facemark::getData function
- */
- struct CV_EXPORTS Data
- {
- std::vector<Point2f> s0;
- };
- /**
- * \brief The model of AAM Algorithm
- */
- struct CV_EXPORTS Model
- {
- std::vector<float>scales;
- //!< defines the scales considered to build the model
- /*warping*/
- std::vector<Vec3i> triangles;
- //!< each element contains 3 values, represent index of facemarks that construct one triangle (obtained using delaunay triangulation)
- struct Texture{
- int max_m; //!< unused delete
- Rect resolution;
- //!< resolution of the current scale
- Mat A;
- //!< gray values from all face region in the dataset, projected in PCA space
- Mat A0;
- //!< average of gray values from all face region in the dataset
- Mat AA;
- //!< gray values from all erorded face region in the dataset, projected in PCA space
- Mat AA0;
- //!< average of gray values from all erorded face region in the dataset
- std::vector<std::vector<Point> > textureIdx;
- //!< index for warping of each delaunay triangle region constructed by 3 facemarks
- std::vector<Point2f> base_shape;
- //!< basic shape, normalized to be fit in an image with current detection resolution
- std::vector<int> ind1;
- //!< index of pixels for mapping process to obtains the grays values of face region
- std::vector<int> ind2;
- //!< index of pixels for mapping process to obtains the grays values of eroded face region
- };
- std::vector<Texture> textures;
- //!< a container to holds the texture data for each scale of fitting
- /*shape*/
- std::vector<Point2f> s0;
- //!< the basic shape obtained from training dataset
- Mat S,Q;
- //!< the encoded shapes from training data
- };
- //! overload with additional Config structures
- virtual bool fitConfig( InputArray image, InputArray roi, OutputArrayOfArrays _landmarks, const std::vector<Config> &runtime_params ) = 0;
- //! initializer
- static Ptr<FacemarkAAM> create(const FacemarkAAM::Params ¶meters = FacemarkAAM::Params() );
- virtual ~FacemarkAAM() {}
- }; /* AAM */
- //! @}
- } /* namespace face */
- } /* namespace cv */
- #endif
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