2026-09-15T15:06:30Zhttps://gredos.usal.es/oai/request

oai:gredos.usal.es:10366/1316402022-02-07T16:12:09Zcom_10366_131610com_10366_122682com_10366_4666com_10366_3823col_10366_131611

López Sánchez, Daniel González Arrieta, María Angélica 2016-11-04T09:27:40Z 2016-11-04T09:27:40Z 2016-01-10 ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal, 5 (2016) 2255-2863 http://hdl.handle.net/10366/131640 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. application/pdf eng Ediciones Universidad de Salamanca (EspaÑa) Attribution-NonCommercial-NoDerivs 3.0 Unported https://creativecommons.org/licenses/by-nc-nd/3.0/ info:eu-repo/semantics/openAccess Computación Informótica Computing Information Technology Preliminary results on nonparametric facial occlusion detection info:eu-repo/semantics/article info:eu-repo/semantics/article