open source pkg v1

2020-08-04 19:12:31 -04:00
parent bef213dba9
commit c389fc2c47
3708 changed files with 1624220 additions and 1 deletions
--- a/pkg/OpenFace/lib/local/LandmarkDetector/include/PDM.h
+++ b/pkg/OpenFace/lib/local/LandmarkDetector/include/PDM.h
@@ -0,0 +1,105 @@
+///////////////////////////////////////////////////////////////////////////////
+// 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 2.0: Facial Behavior Analysis Toolkit
+//       Tadas Baltrušaitis, Amir Zadeh, Yao Chong Lim, and Louis-Philippe Morency
+//       in IEEE International Conference on Automatic Face and Gesture Recognition, 2018  
+//
+//       Convolutional experts constrained local model for facial landmark detection.
+//       A. Zadeh, T. Baltrušaitis, and Louis-Philippe Morency,
+//       in Computer Vision and Pattern Recognition Workshops, 2017.    
+//
+//       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-specific 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 
+//
+///////////////////////////////////////////////////////////////////////////////
+
+#ifndef PDM_H
+#define PDM_H
+
+// OpenCV includes
+#include <opencv2/core/core.hpp>
+
+#include "LandmarkDetectorParameters.h"
+
+namespace LandmarkDetector
+{
+//===========================================================================
+// A linear 3D Point Distribution Model (constructed using Non-Rigid structure from motion or PCA)
+// Only describes the model but does not contain an instance of it (no local or global parameters are stored here)
+// Contains the utility functions to help manipulate the model
+
+class PDM{
+	public:    
+    
+		// The 3D mean shape vector of the PDM [x1,..,xn,y1,...yn,z1,...,zn]
+		cv::Mat_<float> mean_shape;	
+  
+		// Principal components or variation bases of the model, 
+		cv::Mat_<float> princ_comp;
+
+		// Eigenvalues (variances) corresponding to the bases
+		cv::Mat_<float> eigen_values;
+
+		PDM(){;}
+		
+		// A copy constructor
+		PDM(const PDM& other);
+			
+		bool Read(std::string location);
+
+		// Number of vertices
+		inline int NumberOfPoints() const {return mean_shape.rows/3;}
+		
+		// Listing the number of modes of variation
+		inline int NumberOfModes() const {return princ_comp.cols;}
+
+		void Clamp(cv::Mat_<float>& params_local, cv::Vec6f& params_global, const FaceModelParameters& params);
+
+		// Compute shape in object space (3D)
+		void CalcShape3D(cv::Mat_<float>& out_shape, const cv::Mat_<float>& params_local) const;
+
+		// Compute shape in image space (2D)
+		void CalcShape2D(cv::Mat_<float>& out_shape, const cv::Mat_<float>& params_local, const cv::Vec6f& params_global) const;
+    
+		// provided the bounding box of a face and the local parameters (with optional rotation), generates the global parameters that can generate the face with the provided bounding box
+		void CalcParams(cv::Vec6f& out_params_global, const cv::Rect_<float>& bounding_box, const cv::Mat_<float>& params_local, const cv::Vec3f rotation = cv::Vec3f(0.0f));
+
+		// Provided the landmark location compute global and local parameters best fitting it (can provide optional rotation for potentially better results)
+		void CalcParams(cv::Vec6f& out_params_global, cv::Mat_<float>& out_params_local, const cv::Mat_<float>& landmark_locations, const cv::Vec3f rotation = cv::Vec3f(0.0f));
+
+		// provided the model parameters, compute the bounding box of a face
+		void CalcBoundingBox(cv::Rect_<float>& out_bounding_box, const cv::Vec6f& params_global, const cv::Mat_<float>& params_local);
+
+		// Helpers for computing Jacobians, and Jacobians with the weight matrix
+		void ComputeRigidJacobian(const cv::Mat_<float>& params_local, const cv::Vec6f& params_global, cv::Mat_<float> &Jacob, const cv::Mat_<float> W, cv::Mat_<float> &Jacob_t_w);
+		void ComputeJacobian(const cv::Mat_<float>& params_local, const cv::Vec6f& params_global, cv::Mat_<float> &Jacobian, const cv::Mat_<float> W, cv::Mat_<float> &Jacob_t_w);
+
+		// Given the current parameters, and the computed delta_p compute the updated parameters
+		void UpdateModelParameters(const cv::Mat_<float>& delta_p, cv::Mat_<float>& params_local, cv::Vec6f& params_global);
+
+	private:
+		// Helper utilities
+		static void Orthonormalise(cv::Matx33f &R);
+  };
+  //===========================================================================
+}
+#endif // PDM_H