2024-03-28T18:56:04Zhttps://gredos.usal.es/oai/requestoai: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