sustaining_gazes/lib/local/FaceAnalyser/include/SVM_dynamic_lin.h

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///////////////////////////////////////////////////////////////////////////////
// Copyright (C) 2017, Carnegie Mellon University and University of Cambridge,
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// all rights reserved.
//
// ACADEMIC OR NON-PROFIT ORGANIZATION NONCOMMERCIAL RESEARCH USE ONLY
//
// BY USING OR DOWNLOADING THE SOFTWARE, YOU ARE AGREEING TO THE TERMS OF THIS LICENSE AGREEMENT.
// IF YOU DO NOT AGREE WITH THESE TERMS, YOU MAY NOT USE OR DOWNLOAD THE SOFTWARE.
//
// License can be found in OpenFace-license.txt
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//
// * Any publications arising from the use of this software, including but
// not limited to academic journal and conference publications, technical
// reports and manuals, must cite at least one of the following works:
//
// OpenFace: an open source facial behavior analysis toolkit
// Tadas Baltru<72>aitis, Peter Robinson, and Louis-Philippe Morency
// in IEEE Winter Conference on Applications of Computer Vision, 2016
//
// Rendering of Eyes for Eye-Shape Registration and Gaze Estimation
// Erroll Wood, Tadas Baltru<72>aitis, Xucong Zhang, Yusuke Sugano, Peter Robinson, and Andreas Bulling
// in IEEE International. Conference on Computer Vision (ICCV), 2015
//
// Cross-dataset learning and person-speci?c normalisation for automatic Action Unit detection
// Tadas Baltru<72>aitis, Marwa Mahmoud, and Peter Robinson
// in Facial Expression Recognition and Analysis Challenge,
// IEEE International Conference on Automatic Face and Gesture Recognition, 2015
//
// Constrained Local Neural Fields for robust facial landmark detection in the wild.
// Tadas Baltru<72>aitis, Peter Robinson, and Louis-Philippe Morency.
// in IEEE Int. Conference on Computer Vision Workshops, 300 Faces in-the-Wild Challenge, 2013.
//
///////////////////////////////////////////////////////////////////////////////
#ifndef __SVMDYNAMICLIN_h_
#define __SVMDYNAMICLIN_h_
#include <vector>
#include <string>
#include <stdio.h>
#include <iostream>
#include <fstream>
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#include <opencv2/core/core.hpp>
namespace FaceAnalysis
{
// Collection of linear SVR regressors for AU prediction
class SVM_dynamic_lin{
public:
SVM_dynamic_lin()
{}
// Predict the AU from HOG appearance of the face
void Predict(std::vector<double>& predictions, std::vector<std::string>& names, const cv::Mat_<double>& fhog_descriptor, const cv::Mat_<double>& geom_params, const cv::Mat_<double>& running_median, const cv::Mat_<double>& running_median_geom);
// Reading in the model (or adding to it)
void Read(std::ifstream& stream, const std::vector<std::string>& au_names);
std::vector<std::string> GetAUNames() const
{
return AU_names;
}
private:
// The names of Action Units this model is responsible for
std::vector<std::string> AU_names;
// For normalisation
cv::Mat_<double> means;
// For actual prediction
cv::Mat_<double> support_vectors;
cv::Mat_<double> biases;
std::vector<double> pos_classes;
std::vector<double> neg_classes;
};
//===========================================================================
}
#endif