Preliminary results on nonparametric facial occlusion detection

Preliminary results on nonparametric facial occlusion detection

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,...

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Main Authors: Daniel LÓPEZ SÁNCHEZ, Angélica GONZÁLEZ ARRIETA
Format: Article
Language:English
Published: Ediciones Universidad de Salamanca 2016-10-01
Series:Advances in Distributed Computing and Artificial Intelligence Journal
Subjects:
face recognition
oclusion detection
Online Access:https://revistas.usal.es/index.php/2255-2863/article/view/14857
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spelling doaj-f980f1dd11fd4ff5b74928285b2e2e292020-11-25T03:43:57ZengEdiciones Universidad de SalamancaAdvances in Distributed Computing and Artificial Intelligence Journal2255-28632016-10-0151516110.14201/ADCAIJ201651516113423Preliminary results on nonparametric facial occlusion detectionDaniel LÓPEZ SÁNCHEZ0Angélica GONZÁLEZ ARRIETA1ACM MemberUniversity of SalamancaThe 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.https://revistas.usal.es/index.php/2255-2863/article/view/14857face recognitionoclusion detection
collection DOAJ
language English
format Article
sources DOAJ
author Daniel LÓPEZ SÁNCHEZ
Angélica GONZÁLEZ ARRIETA
spellingShingle Daniel LÓPEZ SÁNCHEZ
Angélica GONZÁLEZ ARRIETA
Preliminary results on nonparametric facial occlusion detection
Advances in Distributed Computing and Artificial Intelligence Journal
face recognition
oclusion detection
author_facet Daniel LÓPEZ SÁNCHEZ
Angélica GONZÁLEZ ARRIETA
author_sort Daniel LÓPEZ SÁNCHEZ
title Preliminary results on nonparametric facial occlusion detection
title_short Preliminary results on nonparametric facial occlusion detection
title_full Preliminary results on nonparametric facial occlusion detection
title_fullStr Preliminary results on nonparametric facial occlusion detection
title_full_unstemmed Preliminary results on nonparametric facial occlusion detection
title_sort preliminary results on nonparametric facial occlusion detection
publisher Ediciones Universidad de Salamanca
series Advances in Distributed Computing and Artificial Intelligence Journal
issn 2255-2863
publishDate 2016-10-01
description 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.
topic face recognition
oclusion detection
url https://revistas.usal.es/index.php/2255-2863/article/view/14857
work_keys_str_mv AT daniellopezsanchez preliminaryresultsonnonparametricfacialocclusiondetection
AT angelicagonzalezarrieta preliminaryresultsonnonparametricfacialocclusiondetection
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