diff --git a/lib/local/LandmarkDetector/src/LandmarkDetectorUtils.cpp b/lib/local/LandmarkDetector/src/LandmarkDetectorUtils.cpp
index 76c0954..6df74ed 100644
--- a/lib/local/LandmarkDetector/src/LandmarkDetectorUtils.cpp
+++ b/lib/local/LandmarkDetector/src/LandmarkDetectorUtils.cpp
@@ -14,20 +14,20 @@
 //       reports and manuals, must cite at least one of the following works:
 //
 //       OpenFace: an open source facial behavior analysis toolkit
-//       Tadas Baltrušaitis, Peter Robinson, and Louis-Philippe Morency
+//       Tadas Baltrušaitis, Peter Robinson, and Louis-Philippe Morency
 //       in IEEE Winter Conference on Applications of Computer Vision, 2016  
 //
 //       Rendering of Eyes for Eye-Shape Registration and Gaze Estimation
-//       Erroll Wood, Tadas Baltrušaitis, Xucong Zhang, Yusuke Sugano, Peter Robinson, and Andreas Bulling 
+//       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-speci?c normalisation for automatic Action Unit detection
-//       Tadas Baltrušaitis, Marwa Mahmoud, and Peter Robinson 
+//       Tadas Baltrušaitis, Marwa Mahmoud, and Peter Robinson 
 //       in Facial Expression Recognition and Analysis Challenge, 
 //       IEEE International Conference on Automatic Face and Gesture Recognition, 2015 
 //
 //       Constrained Local Neural Fields for robust facial landmark detection in the wild.
-//       Tadas Baltrušaitis, Peter Robinson, and Louis-Philippe Morency. 
+//       Tadas Baltrušaitis, Peter Robinson, and Louis-Philippe Morency. 
 //       in IEEE Int. Conference on Computer Vision Workshops, 300 Faces in-the-Wild Challenge, 2013.    
 //
 ///////////////////////////////////////////////////////////////////////////////
@@ -1443,8 +1443,8 @@ bool DetectSingleFaceHOG(cv::Rect_<double>& o_region, const cv::Mat_<uchar>& int
 
 			if(use_preferred)
 			{
-				dist = sqrt((preference.x - (face_detections[0].width/2 + face_detections[0].x)) * (preference.x - (face_detections[0].width/2 + face_detections[0].x)) + 
-							   (preference.y - (face_detections[0].height/2 + face_detections[0].y)) * (preference.y - (face_detections[0].height/2 + face_detections[0].y)));
+				dist = sqrt((preference.x - (face_detections[i].width/2 + face_detections[i].x)) * (preference.x - (face_detections[i].width/2 + face_detections[i].x)) + 
+							   (preference.y - (face_detections[i].height/2 + face_detections[i].y)) * (preference.y - (face_detections[i].height/2 + face_detections[i].y)));
 				better = dist < best_so_far;
 			}
 			else