2019-01-10 13:26:03 +01:00

66 lines
2 KiB

#include <opencv2/opencv.hpp>
#include "data.hpp"
#include "face_detector.hpp"
#include "normalizer.hpp"
#include "gaze_predictor.hpp"
namespace opengaze{
class GazeEstimator {
* On the current implementation, we only has the "MPIIGaze" method which uses the input face/eye image
* and output gaze direction directly. It is an appearance-based method. The "OpenFace" can also output
* the gaze vector according to the pupil detection results. However, "OpenFace" implementation is not
* included inside our OpenGaze toolkit yet.
enum Method{MPIIGaze, OpenFace};
* for the "MPIIGaze" method, the input image can be face or eye. The full-face patch model can output
* more accurate gaze prediction than the eye image model, while the eye image base model is much faster.
enum InputType{face, eye};
* the main function to estimate the gaze.
* It performs the face and facial landmarks detection, head pose estimation and then gaze prediction.
* @param input_image input scene image
* @param output data structure for output
void estimateGaze(cv::Mat input_image, std::vector<opengaze::Sample> &output);
void getImagePatch(cv::Mat input_image, std::vector<opengaze::Sample> &outputs);
void setCameraParameters(cv::Mat camera_matrix, cv::Mat camera_dist);
void setRootPath(std::string root_path);
void setMethod(Method, std::vector<std::string> arguments);
void initialFaceDetector(int number_users);
Method method_type_;
InputType input_type_; // the input type
// class instances
FaceDetector face_detector_;
Normalizer normalizer_;
GazePredictor gaze_predictor_;
// camera intrinsic matrix
cv::Mat camera_matrix_;
// camera distortion matrix
cv::Mat camera_dist_;
// the root pat is used for load configuration file and models
std::string root_path_;