void GazeTrackerHistogramFeatures::process() {
if (!Application::Components::pointTracker->isTrackingSuccessful()) {
return;
}
// Segmentacion, histogram extraction
// If recalibration is necessary (there is a new target), recalibrate the Gaussian Processes
if(Application::Components::calibrator->needRecalibration) {
std::cout << "HIST FEATURES NEED RECALIB!!!!!!!!!!!!!!!!!!!!!!!" << std::endl;
addExemplar();
}
if(Application::Components::calibrator->isActive()
&& Application::Components::calibrator->getPointFrameNo() >= 11
&& !Application::Components::eyeExtractor->isBlinking()) {
// ARCADI PROCESS
vectorOfVectors_horizontal.push_back(Application::Components::eyeSegmentation->vector_horizontal);
vectorOfVectors_vertical.push_back(Application::Components::eyeSegmentation->vector_vertical);
vectorOfVectors_horizontal_left.push_back(Application::Components::eyeSegmentation->vector_horizontal_left);
vectorOfVectors_vertical_left.push_back(Application::Components::eyeSegmentation->vector_vertical_left);
// ARCADI PROCESS
/*
// Add current sample (not the average, but sample from each usable frame) to the vector
cv::Mat *temp = new cv::Mat(EyeExtractor::eyeSize, CV_32FC1);
Application::Components::eyeExtractor->eyeFloat->copyTo(*temp);
Utils::SharedImage temp2(new cv::Mat(temp->size(), temp->type()), Utils::releaseImage);
_calibrationTargetImagesAllFrames.push_back(temp2);
// Repeat for left eye
temp = new cv::Mat(EyeExtractor::eyeSize, CV_32FC1);
Application::Components::eyeExtractor->eyeFloatLeft->copyTo(*temp);
Utils::SharedImage temp3(new cv::Mat(temp->size(), temp->type()), Utils::releaseImage);
_calibrationTargetImagesLeftAllFrames.push_back(temp3);
_calibrationTargetPointsAllFrames.push_back(Application::Components::calibrator->getActivePoint());
*/
}
// Update the left and right estimations
updateEstimations();
}
void GazeTrackerHistogramFeatures::process() {
if(_histFeatureExtractor == NULL) {
_histFeatureExtractor = (HistogramFeatureExtractor*) Application::getComponent("HistogramFeatureExtractor");
}
if(_eyeExtractor == NULL) {
_eyeExtractor = (EyeExtractor*) Application::getComponent("EyeExtractor");
}
if (!Application::Data::isTrackingSuccessful) {
return;
}
// If recalibration is necessary (there is a new target), recalibrate the Gaussian Processes
if(Application::Components::calibrator->needRecalibration) {
addExemplar();
}
// Combine the current horizontal and vertical features to come up with the final features
cv::Mat horizontalTransposed = _histFeatureExtractor->horizontalFeatures.t();
horizontalTransposed.copyTo(_currentSample(cv::Rect(0, 0, 1, HORIZONTAL_BIN_SIZE)));
_histFeatureExtractor->verticalFeatures.copyTo(_currentSample(cv::Rect(0, HORIZONTAL_BIN_SIZE, 1, VERTICAL_BIN_SIZE)));
horizontalTransposed = _histFeatureExtractor->horizontalFeaturesLeft.t();
horizontalTransposed.copyTo(_currentSampleLeft(cv::Rect(0, 0, 1, HORIZONTAL_BIN_SIZE)));
_histFeatureExtractor->verticalFeaturesLeft.copyTo(_currentSampleLeft(cv::Rect(0, HORIZONTAL_BIN_SIZE, 1, VERTICAL_BIN_SIZE)));
// If active and there is a usable frame
if(Application::Components::calibrator->isActive()
&& Application::Components::calibrator->getPointFrameNo() >= 11
&& !_eyeExtractor->isBlinking()) {
// Copy the current histogram feature sample to the corresponding row in the accumulation matrices (currentTargetSamples)
_currentSample.copyTo(_currentTargetSamples(cv::Rect(_currentTargetSampleCount, 0, 1, FEATURE_DIM)));
_currentSampleLeft.copyTo(_currentTargetSamplesLeft(cv::Rect(_currentTargetSampleCount, 0, 1, FEATURE_DIM)));
// Increment the sample counter
_currentTargetSampleCount++;
}
// Update the left and right estimations
updateEstimations();
}
