基于OpenCV+dlib实现的实时头部姿态估计算法项目源码（高分项目）.zip

# head-pose-estimation Real-time head pose estimation built with OpenCV and dlib <b>2D:</b><br>Using dlib for facial features tracking, modified from http://dlib.net/webcam_face_pose_ex.cpp.html <br>The algorithm behind it is described in http://www.csc.kth.se/~vahidk/papers/KazemiCVPR14.pdf <br>It applies cascaded regression trees to predict shape(feature locations) change in every frame. <br>Splitting nodes of trees are trained in random, greedy, maximizing variance reduction fashion. <br>The well trained model can be downloaded from http://dlib.net/files/shape_predictor_68_face_landmarks.dat.bz2 <br>Training set is based on i-bug 300-W datasets. It's annotation is shown below:<br><br>  <br><br> <b>3D:</b><br>To match with 2D image points(facial features) we need their corresponding 3D model points. <br>http://aifi.isr.uc.pt/Downloads/OpenGL/glAnthropometric3DModel.cpp provides a similar 3D facial feature model. <br>It's annotation is shown below:<br><br>  <br><br> Finally, with solvepnp function in OpenCV, we can achieve real-time head pose estimation. <br><br>