sustaining_gazes/lib/local/LandmarkDetector/include/LandmarkDetectorFunc.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.
//
///////////////////////////////////////////////////////////////////////////////
// Header for all external CLM/CLNF/CLM-Z methods of interest to the user
//
//
#ifndef __LANDMARK_DETECTOR_FUNC_h_
#define __LANDMARK_DETECTOR_FUNC_h_
// OpenCV includes
#include <opencv2/core/core.hpp>
#include <LandmarkDetectorParameters.h>
#include <LandmarkDetectorUtils.h>
#include <LandmarkDetectorModel.h>
using namespace std;
namespace LandmarkDetector
{
//================================================================================================================
// Landmark detection in videos, need to provide an image and model parameters (default values work well)
// Optionally can provide a bounding box from which to start tracking
//================================================================================================================
bool DetectLandmarksInVideo(const cv::Mat_<uchar> &grayscale_image, CLNF& clnf_model, FaceModelParameters& params);
bool DetectLandmarksInVideo(const cv::Mat_<uchar> &grayscale_image, const cv::Mat_<float> &depth_image, CLNF& clnf_model, FaceModelParameters& params);
bool DetectLandmarksInVideo(const cv::Mat_<uchar> &grayscale_image, const cv::Rect_<double> bounding_box, CLNF& clnf_model, FaceModelParameters& params);
bool DetectLandmarksInVideo(const cv::Mat_<uchar> &grayscale_image, const cv::Mat_<float> &depth_image, const cv::Rect_<double> bounding_box, CLNF& clnf_model, FaceModelParameters& params);
//================================================================================================================
// Landmark detection in image, need to provide an image and optionally CLNF model together with parameters (default values work well)
// Optionally can provide a bounding box in which detection is performed (this is useful if multiple faces are to be detected in images)
//================================================================================================================
bool DetectLandmarksInImage(const cv::Mat_<uchar> &grayscale_image, CLNF& clnf_model, FaceModelParameters& params);
// Providing a bounding box
bool DetectLandmarksInImage(const cv::Mat_<uchar> &grayscale_image, const cv::Rect_<double> bounding_box, CLNF& clnf_model, FaceModelParameters& params);
//================================================
// CLM-Z versions
bool DetectLandmarksInImage(const cv::Mat_<uchar> &grayscale_image, const cv::Mat_<float> depth_image, CLNF& clnf_model, FaceModelParameters& params);
bool DetectLandmarksInImage(const cv::Mat_<uchar> &grayscale_image, const cv::Mat_<float> depth_image, const cv::Rect_<double> bounding_box, CLNF& clnf_model, FaceModelParameters& params);
//================================================================
// Helper function for getting head pose from CLNF parameters
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// Return the current estimate of the head pose in world coordinates with camera at origin (0,0,0)
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// The format returned is [Tx, Ty, Tz, Eul_x, Eul_y, Eul_z]
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cv::Vec6d GetPose(const CLNF& clnf_model, double fx, double fy, double cx, double cy);
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// Return the current estimate of the head pose in world coordinates with camera at origin (0,0,0), but with rotation representing if the head is looking at the camera
// The format returned is [Tx, Ty, Tz, Eul_x, Eul_y, Eul_z]
cv::Vec6d GetPoseWRTCamera(const CLNF& clnf_model, double fx, double fy, double cx, double cy);
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}
#endif