Preliminary results on nonparametric facial occlusion detection

  1. LÓPEZ SÁNCHEZ, Daniel 1
  2. GONZÁLEZ ARRIETA, Angélica 2
  1. 1 ACM Member
  2. 2 Universidad de Salamanca
    info

    Universidad de Salamanca

    Salamanca, España

    ROR https://ror.org/02f40zc51

Journal:
ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal

ISSN: 2255-2863

Year of publication: 2016

Volume: 5

Issue: 1

Pages: 51-61

Type: Article

DOI: 10.14201/ADCAIJ2016515161 DIALNET GOOGLE SCHOLAR lock_openOpen access editor

More publications in: ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal

Sustainable development goals

Abstract

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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