Dealing better with non-tracked frames.
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2 changed files with 32 additions and 26 deletions
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@ -162,7 +162,7 @@ int main (int argc, char **argv)
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bool detection_success = LandmarkDetector::DetectLandmarksInVideo(grayscale_image, face_model, det_parameters);
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// Gaze tracking, absolute gaze direction
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cv::Point3f gazeDirection0(0, 0, -1); cv::Point3f gazeDirection1(0, 0, -1); cv::Vec2d gazeAngle(0, 0);
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cv::Point3f gazeDirection0(0, 0, 0); cv::Point3f gazeDirection1(0, 0, 0); cv::Vec2d gazeAngle(0, 0);
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if (detection_success && face_model.eye_model)
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{
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@ -1081,7 +1081,13 @@ cv::Mat_<double> CLNF::GetShape(double fx, double fy, double cx, double cy) cons
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{
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int n = this->detected_landmarks.rows/2;
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cv::Mat_<double> shape3d(n*3, 1);
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cv::Mat_<double> outShape(n, 3, 0.0);
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// If the tracking started (otherwise no point reporting 3D shape)
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if(this->tracking_initialised)
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{
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cv::Mat_<double> shape3d(n * 3, 1);
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this->pdm.CalcShape3D(shape3d, this->params_local);
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@ -1097,7 +1103,6 @@ cv::Mat_<double> CLNF::GetShape(double fx, double fy, double cx, double cy) cons
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// from the weak perspective model can determine the average depth of the object
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double Zavg = fx / params_global[0];
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cv::Mat_<double> outShape(n,3,0.0);
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// this is described in the paper in section 3.4 (equation 10) (of the CLM-Z paper)
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for(int i = 0; i < n; i++)
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@ -1112,6 +1117,7 @@ cv::Mat_<double> CLNF::GetShape(double fx, double fy, double cx, double cy) cons
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outShape.at<double>(i,2) = (double)Z;
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}
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}
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// The format is 3 rows - n cols
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return outShape.t();
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