@INPROCEEDINGS{Wiedemeyer2011,
  author = {Wiedemeyer, Thiemo and Stommel, Martin and Herzog, Otthein},
  title = {Wide Range Face Pose Estimation by Modelling the 3D Arrangement of
	Robustly Detectable Sub-parts},
  booktitle = {CAIP},
  year = {2011},
  volume = {6855},
  series = {Lecture Notes in Computer Science},
  pages = {237--244},
  address = {Seville, Spain},
  month = {August29--31},
  publisher = {Springer},
  abstract = {A highly accurate solution for the estimation of face poses over a
	wide range of 180 degree is presented. The result has been achieved
	by modeling the 3D arrangement of 15 facial features and its mapping
	to the image plane for different poses. A voting scheme is used to
	compute the mapping for a given image in a bottom-up procedure. The
	voting is based on a robust classification of the appearance of the
	sub-parts. However, equal importance must be ascribed to the extension
	of the annotation scheme of the Feret data base, also including the
	correction of existing misannotations.},
  doi = {10.1007/978-3-642-23678-5{\_}27},
  keywords = {face pose estimation,facial feature detection,Feret data base},
  owner = {pmania},
  timestamp = {2012.11.06},
  url = {http://www.springerlink.com/content/a5tr7p37751u3884/}
}