90 lines
4.6 KiB
C++
90 lines
4.6 KiB
C++
///////////////////////////////////////////////////////////////////////////////
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// Copyright (C) 2017, Carnegie Mellon University and University of Cambridge,
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// all rights reserved.
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//
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// ACADEMIC OR NON-PROFIT ORGANIZATION NONCOMMERCIAL RESEARCH USE ONLY
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//
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// BY USING OR DOWNLOADING THE SOFTWARE, YOU ARE AGREEING TO THE TERMS OF THIS LICENSE AGREEMENT.
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// IF YOU DO NOT AGREE WITH THESE TERMS, YOU MAY NOT USE OR DOWNLOAD THE SOFTWARE.
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//
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// License can be found in OpenFace-license.txt
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//
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// * Any publications arising from the use of this software, including but
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// not limited to academic journal and conference publications, technical
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// reports and manuals, must cite at least one of the following works:
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//
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// OpenFace: an open source facial behavior analysis toolkit
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// Tadas Baltrušaitis, Peter Robinson, and Louis-Philippe Morency
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// in IEEE Winter Conference on Applications of Computer Vision, 2016
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//
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// Rendering of Eyes for Eye-Shape Registration and Gaze Estimation
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// Erroll Wood, Tadas Baltrušaitis, Xucong Zhang, Yusuke Sugano, Peter Robinson, and Andreas Bulling
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// in IEEE International. Conference on Computer Vision (ICCV), 2015
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//
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// Cross-dataset learning and person-speci?c normalisation for automatic Action Unit detection
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// Tadas Baltrušaitis, Marwa Mahmoud, and Peter Robinson
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// in Facial Expression Recognition and Analysis Challenge,
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// IEEE International Conference on Automatic Face and Gesture Recognition, 2015
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//
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// Constrained Local Neural Fields for robust facial landmark detection in the wild.
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// Tadas Baltrušaitis, Peter Robinson, and Louis-Philippe Morency.
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// in IEEE Int. Conference on Computer Vision Workshops, 300 Faces in-the-Wild Challenge, 2013.
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//
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///////////////////////////////////////////////////////////////////////////////
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#ifndef __FACE_UTILS_h_
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#define __FACE_UTILS_h_
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#include <opencv2/core/core.hpp>
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#include <opencv2/highgui/highgui.hpp>
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#include "PDM.h"
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#include "PAW.h"
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namespace FaceAnalysis
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{
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//===========================================================================
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// Defining a set of useful utility functions to be used within FaceAnalyser
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// Aligning a face to a common reference frame
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void AlignFace(cv::Mat& aligned_face, const cv::Mat& frame, const cv::Mat_<float>& detected_landmarks, cv::Vec6f params_global, const PDM& pdm, bool rigid = true, float scale = 0.6, int width = 96, int height = 96);
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void AlignFaceMask(cv::Mat& aligned_face, const cv::Mat& frame, const cv::Mat_<float>& detected_landmarks, cv::Vec6f params_global, const PDM& pdm, const cv::Mat_<int>& triangulation, bool rigid = true, float scale = 0.6, int width = 96, int height = 96);
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void Extract_FHOG_descriptor(cv::Mat_<double>& descriptor, const cv::Mat& image, int& num_rows, int& num_cols, int cell_size = 8);
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// The following two methods go hand in hand
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void ExtractSummaryStatistics(const cv::Mat_<double>& descriptors, cv::Mat_<double>& sum_stats, bool mean, bool stdev, bool max_min);
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void AddDescriptor(cv::Mat_<double>& descriptors, cv::Mat_<double> new_descriptor, int curr_frame, int num_frames_to_keep = 120);
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//===========================================================================
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// Point set and landmark manipulation functions
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//===========================================================================
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// Using Kabsch's algorithm for aligning shapes
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//This assumes that align_from and align_to are already mean normalised
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cv::Matx22f AlignShapesKabsch2D(const cv::Mat_<float>& align_from, const cv::Mat_<float>& align_to);
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//=============================================================================
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// Basically Kabsch's algorithm but also allows the collection of points to be different in scale from each other
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cv::Matx22f AlignShapesWithScale(cv::Mat_<float>& src, cv::Mat_<float> dst);
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//===========================================================================
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// Visualisation functions, TODO move
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//===========================================================================
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void Project(cv::Mat_<float>& dest, const cv::Mat_<float>& mesh, float fx, float fy, float cx, float cy);
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//============================================================================
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// Matrix reading functionality
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//============================================================================
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// Reading a matrix written in a binary format
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void ReadMatBin(std::ifstream& stream, cv::Mat &output_mat);
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// Reading in a matrix from a stream
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void ReadMat(std::ifstream& stream, cv::Mat& output_matrix);
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// Skipping comments (lines starting with # symbol)
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void SkipComments(std::ifstream& stream);
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}
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#endif
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