mirror of
https://gitcode.com/gh_mirrors/ope/OpenFace.git
synced 2025-12-30 13:02:30 +00:00
82 lines
4.6 KiB
C++
82 lines
4.6 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 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
|
|
//
|
|
///////////////////////////////////////////////////////////////////////////////
|
|
|
|
// 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
|
|
// Can also optionally pass a grayscale image if it has already been computed to speed things up a bit
|
|
//================================================================================================================
|
|
bool DetectLandmarksInVideo(const cv::Mat &rgb_image, CLNF& clnf_model, FaceModelParameters& params, cv::Mat &grayscale_image);
|
|
bool DetectLandmarksInVideo(const cv::Mat &rgb_image, const cv::Rect_<double> bounding_box, CLNF& clnf_model, FaceModelParameters& params, cv::Mat &grayscale_image);
|
|
|
|
//================================================================================================================
|
|
// 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)
|
|
// Can also optionally pass a grayscale image if it has already been computed to speed things up a bit
|
|
//================================================================================================================
|
|
bool DetectLandmarksInImage(const cv::Mat &rgb_image, CLNF& clnf_model, FaceModelParameters& params, cv::Mat &grayscale_image);
|
|
// Providing a bounding box
|
|
bool DetectLandmarksInImage(const cv::Mat &rgb_image, const cv::Rect_<double> bounding_box, CLNF& clnf_model, FaceModelParameters& params, cv::Mat &grayscale_image);
|
|
|
|
//================================================================
|
|
// Helper function for getting head pose from CLNF parameters
|
|
|
|
// Return the current estimate of the head pose in world coordinates with camera at origin (0,0,0)
|
|
// The format returned is [Tx, Ty, Tz, Eul_x, Eul_y, Eul_z]
|
|
cv::Vec6f GetPose(const CLNF& clnf_model, float fx, float fy, float cx, float cy);
|
|
|
|
// 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::Vec6f GetPoseWRTCamera(const CLNF& clnf_model, float fx, float fy, float cx, float cy);
|
|
}
|
|
#endif
|