Head pose estimation using view based eigenspaces

View based eigenspaces can improve the performance of face recognition algorithms. In this work, we demonstrate their use in head pose estimation from head and shoulders video sequences. Our method compares the projected energies of the test image in multiple eigenspaces. We also demonstrate that very few eigenspaces are necessary for a rough estimate of head pose. The method is robust and computationally inexpensive.