sustaining_gazes/lib/local/CppInerop/GazeAnalyserInterop.h
2017-10-22 10:03:23 +01:00

217 lines
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7.6 KiB
C++

#pragma once
///////////////////////////////////////////////////////////////////////////////
// Copyright (C) 2017, Carnegie Mellon University and University of Cambridge,
// 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
// * 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 Baltrušaitis, 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 Baltrušaitis, 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 Baltrušaitis, 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 Baltrušaitis, Peter Robinson, and Louis-Philippe Morency.
// in IEEE Int. Conference on Computer Vision Workshops, 300 Faces in-the-Wild Challenge, 2013.
//
///////////////////////////////////////////////////////////////////////////////
// FaceAnalyser_Interop.h
#ifndef __GAZE_ANALYSER_INTEROP_h_
#define __GAZE_ANALYSER_INTEROP_h_
#pragma once
// Include all the unmanaged things we need.
#pragma managed
#include <msclr\marshal.h>
#include <msclr\marshal_cppstd.h>
#pragma unmanaged
#include <opencv2/core/core.hpp>
#include "opencv2/objdetect.hpp"
#include "opencv2/calib3d.hpp"
#include <opencv2/imgcodecs.hpp>
#include <opencv2/imgproc.hpp>
#include <opencv2/highgui/highgui.hpp>
// Allows to overcome boost name clash stuff with C++ CLI
#ifdef __cplusplus_cli
#define generic __identifier(generic)
#endif
#include <OpenCVWrappers.h>
#include <LandmarkDetectorInterop.h>
#include <GazeEstimation.h>
// Boost stuff
#include <filesystem.hpp>
#include <filesystem/fstream.hpp>
#ifdef __cplusplus_cli
#undef generic
#endif
#pragma managed
namespace GazeAnalyser_Interop {
public ref class GazeAnalyserManaged
{
private:
// Variable storing gaze for recording
// Absolute gaze direction
cv::Point3f* gazeDirection0;
cv::Point3f* gazeDirection1;
cv::Vec2d* gazeAngle;
cv::Point3f* pupil_left;
cv::Point3f* pupil_right;
public:
GazeAnalyserManaged()
{
gazeDirection0 = new cv::Point3f();
gazeDirection1 = new cv::Point3f();
gazeAngle = new cv::Vec2d();
pupil_left = new cv::Point3f();
pupil_right = new cv::Point3f();
}
void AddNextFrame(CppInterop::LandmarkDetector::CLNF^ clnf, bool success, double fx, double fy, double cx, double cy) {
// After the AUs have been detected do some gaze estimation as well
GazeAnalysis::EstimateGaze(*clnf->getCLNF(), *gazeDirection0, fx, fy, cx, cy, true);
GazeAnalysis::EstimateGaze(*clnf->getCLNF(), *gazeDirection1, fx, fy, cx, cy, false);
// Estimate the gaze angle WRT to head pose here
System::Collections::Generic::List<double>^ pose_list = gcnew System::Collections::Generic::List<double>();
*gazeAngle = GazeAnalysis::GetGazeAngle(*gazeDirection0, *gazeDirection1);
// Grab pupil locations
int part_left = -1;
int part_right = -1;
for (size_t i = 0; i < clnf->getCLNF()->hierarchical_models.size(); ++i)
{
if (clnf->getCLNF()->hierarchical_model_names[i].compare("left_eye_28") == 0)
{
part_left = i;
}
if (clnf->getCLNF()->hierarchical_model_names[i].compare("right_eye_28") == 0)
{
part_right = i;
}
}
cv::Mat_<double> eyeLdmks3d_left = clnf->getCLNF()->hierarchical_models[part_left].GetShape(fx, fy, cx, cy);
cv::Point3f pupil_left_h = GazeAnalysis::GetPupilPosition(eyeLdmks3d_left);
pupil_left->x = pupil_left_h.x; pupil_left->y = pupil_left_h.y; pupil_left->z = pupil_left_h.z;
cv::Mat_<double> eyeLdmks3d_right = clnf->getCLNF()->hierarchical_models[part_right].GetShape(fx, fy, cx, cy);
cv::Point3f pupil_right_h = GazeAnalysis::GetPupilPosition(eyeLdmks3d_right);
pupil_right->x = pupil_right_h.x; pupil_right->y = pupil_right_h.y; pupil_right->z = pupil_right_h.z;
}
System::Tuple<System::Tuple<double, double, double>^, System::Tuple<double, double, double>^>^ GetGazeCamera()
{
auto gaze0 = gcnew System::Tuple<double, double, double>(gazeDirection0->x, gazeDirection0->y, gazeDirection0->z);
auto gaze1 = gcnew System::Tuple<double, double, double>(gazeDirection1->x, gazeDirection1->y, gazeDirection1->z);
return gcnew System::Tuple<System::Tuple<double, double, double>^, System::Tuple<double, double, double>^>(gaze0, gaze1);
}
System::Tuple<double, double>^ GetGazeAngle()
{
auto gaze_angle = gcnew System::Tuple<double, double>((*gazeAngle)[0], (*gazeAngle)[1]);
return gaze_angle;
}
System::Collections::Generic::List<System::Tuple<System::Windows::Point, System::Windows::Point>^>^ CalculateGazeLines(double scale, float fx, float fy, float cx, float cy)
{
cv::Mat_<double> cameraMat = (cv::Mat_<double>(3, 3) << fx, 0, cx, 0, fy, cy, 0, 0, 0);
vector<cv::Point3f> points_left;
points_left.push_back(cv::Point3f(*pupil_left));
points_left.push_back(cv::Point3f(*pupil_left + *gazeDirection0 * 40.0 * scale));
vector<cv::Point3f> points_right;
points_right.push_back(cv::Point3f(*pupil_right));
points_right.push_back(cv::Point3f(*pupil_right + *gazeDirection1 * 40.0 * scale));
// Perform manual projection of points
vector<cv::Point2d> imagePoints_left;
for (int i = 0; i < points_left.size(); ++i)
{
double x = points_left[i].x * fx / points_left[i].z + cx;
double y = points_left[i].y * fy / points_left[i].z + cy;
imagePoints_left.push_back(cv::Point2d(x, y));
}
vector<cv::Point2d> imagePoints_right;
for (int i = 0; i < points_right.size(); ++i)
{
double x = points_right[i].x * fx / points_right[i].z + cx;
double y = points_right[i].y * fy / points_right[i].z + cy;
imagePoints_right.push_back(cv::Point2d(x, y));
}
auto lines = gcnew System::Collections::Generic::List<System::Tuple<System::Windows::Point, System::Windows::Point>^>();
lines->Add(gcnew System::Tuple<System::Windows::Point, System::Windows::Point>(System::Windows::Point(imagePoints_left[0].x, imagePoints_left[0].y), System::Windows::Point(imagePoints_left[1].x, imagePoints_left[1].y)));
lines->Add(gcnew System::Tuple<System::Windows::Point, System::Windows::Point>(System::Windows::Point(imagePoints_right[0].x, imagePoints_right[0].y), System::Windows::Point(imagePoints_right[1].x, imagePoints_right[1].y)));
return lines;
}
// Finalizer. Definitely called before Garbage Collection,
// but not automatically called on explicit Dispose().
// May be called multiple times.
!GazeAnalyserManaged()
{
delete gazeDirection0;
delete gazeDirection1;
delete gazeAngle;
delete pupil_left;
delete pupil_right;
}
// Destructor. Called on explicit Dispose() only.
~GazeAnalyserManaged()
{
this->!GazeAnalyserManaged();
}
};
}
#endif