Personal mobile devices hold sensitive data and can be
		  used to access services with associated cost. For security
		  reasons, most mobile platforms hence implement automatic
		  device locking after a period of inactivity. Unlocking them
		  using approaches like PIN, password or an unlock pattern is
		  both problematic in terms of usability and potentially
		  insecure, as it is prone to the shoulder surfing attack: an
		  attacker watching the display during user authentication.
		  Therefore, face unlock - using biometric face information
		  for authentication – was developed as a more secure as
		  well as more usable personal device unlock. Unfortunately,
		  when using frontal face information only, authentication
		  can still be circumvented by a photo attack: presenting a
		  photo/video of the authorized person to the camera. We
		  propose a variant of face unlock which is harder to
		  circumvent by using all face information that is available
		  during a 180 degree pan shot around the user’s head. Based
		  on stereo vision, 2D and range images of the user’s head
		  are recorded and classified along with sensor data of the
		  device movement. We evaluate different classifiers for both
		  grayscale 2D and range images and present our current
		  results based on a new stereo vision face database.<br>
<br><pre>@inproceedings{Findling_13_TowardsSecurePersonal,
  author = {Findling, Rainhard Dieter and Mayrhofer, Ren\'e},
  title = {Towards Secure Personal Device Unlock using Stereo Camera
  		  Pan Shots},
  booktitle = {Second International Workshop on Mobile Computing
  		  Platforms and Technologies ({MCPT 2013}) on the 14th
  		  International Conference on Computer Aided Systems Theory
  		  ({EUROCAST 2013})},
  year = {2013},
  editor = {Moreno-D{\'i}az, Roberto and Pichler, Franz and Quesada-Arencibia, Alexis},
  series = {LNCS},
  pages = {417--424},
  address = {Las Palmas, Spain},
  month = feb,
  publisher = {Springer},
  doi = {10.1007/978-3-642-53862-9_53},
  url = {https://link.springer.com/chapter/10.1007/978-3-642-53862-9_53}
}
</pre>