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

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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 __GAZEESTIMATION_h_
#define __GAZEESTIMATION_h_

#include "opencv2/core/core.hpp"
#include "LandmarkCoreIncludes.h"

namespace FaceAnalysis
{

	void EstimateGaze(const LandmarkDetector::CLNF& clnf_model, cv::Point3f& gaze_absolute, float fx, float fy, float cx, float cy, bool left_eye);
	void DrawGaze(cv::Mat img, const LandmarkDetector::CLNF& clnf_model, cv::Point3f gazeVecAxisLeft, cv::Point3f gazeVecAxisRight, float fx, float fy, float cx, float cy);

	// Some utilities
	cv::Point3f GetPupilPosition(cv::Mat_<double> eyeLdmks3d);

}
#endif