108 lines
4.8 KiB
C++
108 lines
4.8 KiB
C++
///////////////////////////////////////////////////////////////////////////////
|
|
// 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.
|
|
//
|
|
///////////////////////////////////////////////////////////////////////////////
|
|
|
|
#ifndef __Patch_experts_h_
|
|
#define __Patch_experts_h_
|
|
|
|
// OpenCV includes
|
|
#include <opencv2/core/core.hpp>
|
|
|
|
|
|
#include "SVR_patch_expert.h"
|
|
#include "CCNF_patch_expert.h"
|
|
#include "PDM.h"
|
|
|
|
namespace LandmarkDetector
|
|
{
|
|
//===========================================================================
|
|
/**
|
|
Combined class for all of the patch experts
|
|
*/
|
|
class Patch_experts
|
|
{
|
|
|
|
public:
|
|
|
|
// The collection of SVR patch experts (for intensity/grayscale images), the experts are laid out scale->view->landmark
|
|
vector<vector<vector<Multi_SVR_patch_expert> > > svr_expert_intensity;
|
|
|
|
// The collection of LNF (CCNF) patch experts (for intensity images), the experts are laid out scale->view->landmark
|
|
vector<vector<vector<CCNF_patch_expert> > > ccnf_expert_intensity;
|
|
|
|
// The node connectivity for CCNF experts, at different window sizes and corresponding to separate edge features
|
|
vector<vector<cv::Mat_<float> > > sigma_components;
|
|
|
|
// The available scales for intensity patch experts
|
|
vector<double> patch_scaling;
|
|
|
|
// The available views for the patch experts at every scale (in radians)
|
|
vector<vector<cv::Vec3d> > centers;
|
|
|
|
// Landmark visibilities for each scale and view
|
|
vector<vector<cv::Mat_<int> > > visibilities;
|
|
|
|
// A default constructor
|
|
Patch_experts(){;}
|
|
|
|
// A copy constructor
|
|
Patch_experts(const Patch_experts& other);
|
|
|
|
// Returns the patch expert responses given a grayscale image.
|
|
// Additionally returns the transform from the image coordinates to the response coordinates (and vice versa).
|
|
// The computation also requires the current landmark locations to compute response around, the PDM corresponding to the desired model, and the parameters describing its instance
|
|
// Also need to provide the size of the area of interest and the desired scale of analysis
|
|
void Response(vector<cv::Mat_<float> >& patch_expert_responses, cv::Matx22f& sim_ref_to_img, cv::Matx22d& sim_img_to_ref, const cv::Mat_<uchar>& grayscale_image,
|
|
const PDM& pdm, const cv::Vec6d& params_global, const cv::Mat_<double>& params_local, int window_size, int scale);
|
|
|
|
// Getting the best view associated with the current orientation
|
|
int GetViewIdx(const cv::Vec6d& params_global, int scale) const;
|
|
|
|
// The number of views at a particular scale
|
|
inline int nViews(size_t scale = 0) const { return (int)centers[scale].size(); };
|
|
|
|
// Reading in all of the patch experts
|
|
void Read(vector<string> intensity_svr_expert_locations, vector<string> intensity_ccnf_expert_locations);
|
|
|
|
|
|
|
|
|
|
private:
|
|
void Read_SVR_patch_experts(string expert_location, std::vector<cv::Vec3d>& centers, std::vector<cv::Mat_<int> >& visibility, std::vector<std::vector<Multi_SVR_patch_expert> >& patches, double& scale);
|
|
void Read_CCNF_patch_experts(string patchesFileLocation, std::vector<cv::Vec3d>& centers, std::vector<cv::Mat_<int> >& visibility, std::vector<std::vector<CCNF_patch_expert> >& patches, double& patchScaling);
|
|
|
|
|
|
};
|
|
|
|
}
|
|
#endif
|