Face Recognition with Decision Tree-based Local Binary Patterns. Maturana, D., Mery, D., & Soto, A. In Proc. of Asian Conference on Computer Vision (ACCV-2010), 2010.
Face Recognition with Decision Tree-based Local Binary Patterns [pdf]Paper  abstract   bibtex   2 downloads  
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.

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