Preliminary results on nonparametric facial occlusion detection

  • Daniel López Sánchez
  • Angélica González Arrieta
    University of Salamanca


The problem of face recognition has been extensively studied in the available literature, however, some aspects of this field require further research. The design and implementation of face recognition systems that can efficiently handle unconstrained conditions (e.g. pose variations, illumination, partial occlusion...) is still an area under active research. This work focuses on the design of a new nonparametric occlusion detection technique. In addition, we present some preliminary results that indicate that the proposed technique might be useful to face recognition systems, allowing them to dynamically discard occluded face parts.
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López Sánchez, D., & González Arrieta, A. (2016). Preliminary results on nonparametric facial occlusion detection. ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal, 5(1), 51–61.


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