<?xml version="1.0" encoding="ISO-8859-1"?><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
<front>
<journal-meta>
<journal-id>2227-1899</journal-id>
<journal-title><![CDATA[Revista Cubana de Ciencias Informáticas]]></journal-title>
<abbrev-journal-title><![CDATA[RCCI]]></abbrev-journal-title>
<issn>2227-1899</issn>
<publisher>
<publisher-name><![CDATA[Editorial Ediciones Futuro]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S2227-18992022000200157</article-id>
<title-group>
<article-title xml:lang="es"><![CDATA[Revisión de los métodos de reconocimiento facial en imágenes RGB-D adquiridas mediante un sensor Kinect]]></article-title>
<article-title xml:lang="en"><![CDATA[Review of facial recognition methods in RGB-D images acquired using a Kinect sensor]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Alvarez Navarro]]></surname>
<given-names><![CDATA[Alejandro]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Marañon Reyes]]></surname>
<given-names><![CDATA[Enrique Juan]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Orozco Morales]]></surname>
<given-names><![CDATA[Rubén]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Universidad de Oriente  ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Cuba</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,Universidad Central "Marta Abreu  ]]></institution>
<addr-line><![CDATA[ Villa Clara]]></addr-line>
<country>Cuba</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>06</month>
<year>2022</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>06</month>
<year>2022</year>
</pub-date>
<volume>16</volume>
<numero>2</numero>
<fpage>157</fpage>
<lpage>187</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://scielo.sld.cu/scielo.php?script=sci_arttext&amp;pid=S2227-18992022000200157&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://scielo.sld.cu/scielo.php?script=sci_abstract&amp;pid=S2227-18992022000200157&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://scielo.sld.cu/scielo.php?script=sci_pdf&amp;pid=S2227-18992022000200157&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="es"><p><![CDATA[RESUMEN El reconocimiento facial en una imagen o video, es un tema que ha sido investigado y desarrollado en los últimos años. Sin embargo, continúa siendo una tarea abierta con grandes complejidades, desde el punto de vista científico y económico. Se investiga para desarrollar o mejorar técnicas y algoritmos que permitan tener mayor efectividad que las existentes y presentar menores costos computacionales. Se plantean tres enfoques, los que se basan exclusivamente en imágenes RGB, de profundidad, o la fusión de ambas modalidades. El objetivo de este trabajo es ofrecer una panorámica de las propuestas de reconocimiento facial utilizando un sensor Kinect para adquirir las imágenes, realizar un análisis crítico y comparativo de las principales propuestas y analizar los resultados obtenidos. A partir de este análisis veremos los principales aportes y evaluaremos los principales problemas y retos de investigación por resolver. En los artículos revisados en el período 2012-2021 se proponen diversos descriptores para la extracción de características y un conjunto de clasificadores.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[ABSTRACT Facial recognition in an image or video is a topic that has been researched and developed in recent years. However, it continues to be an open task with great complexities, from the scientific and economic point of view. Research is being carried out to develop or improve techniques and algorithms that are more effective than the existing ones and have lower computational costs. Three approaches are proposed, those based exclusively on RGB, depth images, or the fusion of both modalities. The objective of this work is offer a panoramic view of the proposals of face recognition using a Kinect sensor to acquire the images, realize a critical and comparative analysis of the main proposals and analyze the results obtained. From this analysis we will see the main contributions and evaluate the main research problems and challenges to be solved. Several descriptors for feature extraction and a set of classifiers are proposed in the articles reviewed in the period 2012-2021.]]></p></abstract>
<kwd-group>
<kwd lng="es"><![CDATA[Reconocimiento facial]]></kwd>
<kwd lng="es"><![CDATA[Kinect]]></kwd>
<kwd lng="es"><![CDATA[descriptores]]></kwd>
<kwd lng="es"><![CDATA[extracción de características]]></kwd>
<kwd lng="es"><![CDATA[clasificadores]]></kwd>
<kwd lng="en"><![CDATA[Facial recognition]]></kwd>
<kwd lng="en"><![CDATA[Kinect]]></kwd>
<kwd lng="en"><![CDATA[descriptors]]></kwd>
<kwd lng="en"><![CDATA[feature extraction]]></kwd>
<kwd lng="en"><![CDATA[classifiers]]></kwd>
</kwd-group>
</article-meta>
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