@InProceedings{	  maturana:etal:2010,
  author	= {D. Maturana and D. Mery and A. Soto},
  title		= {Face Recognition with Decision Tree-based Local Binary
		  Patterns},
  booktitle	= {Proc. of Asian Conference on Computer Vision (ACCV-2010)},
  year		= {2010},
  abstract	= {Many state-of-the-art face recognition algorithms use
		  image descriptors based on features known as Local Binary
		  Patterns (LBPs). While many variations of LBP exist, so far
		  none of them can automati- cally adapt to the training
		  data. We introduce and analyze a novel gen- eralization of
		  LBP that learns the most discriminative LBP-like features
		  for each facial region in a supervised manner. Since the
		  proposed method is based on Decision Trees, we call it
		  Decision Tree Local Binary Pat- terns or DT-LBPs. Tests on
		  standard face recognition datasets show the superiority of
		  DT-LBP with respect of several state-of-the-art feature
		  descriptors regularly used in face recognition
		  applications. },
  url		= {http://saturno.ing.puc.cl/media/papers_alvaro/ACCV-2010.pdf}
}

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