<?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>1815-5928</journal-id>
<journal-title><![CDATA[Ingeniería Electrónica, Automática y Comunicaciones]]></journal-title>
<abbrev-journal-title><![CDATA[EAC]]></abbrev-journal-title>
<issn>1815-5928</issn>
<publisher>
<publisher-name><![CDATA[Universidad Tecnológica de La Habana José Antonio Echeverría, Cujae]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S1815-59282019000300072</article-id>
<title-group>
<article-title xml:lang="en"><![CDATA[Profile Face Image Frontalization based on landmark points and 3D Generic Elastic Model]]></article-title>
<article-title xml:lang="es"><![CDATA[Frontalización de imágenes de rostro de perfil basada en puntos característicos y en el uso de un Modelo 3D Genérico Elástico]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Méndez]]></surname>
<given-names><![CDATA[Nelson]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Nicolás]]></surname>
<given-names><![CDATA[Miguel A.]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Méndez-Vázquez]]></surname>
<given-names><![CDATA[Heydi]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Advanced Technologies Application Center (CENATAV)  ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Cuba</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>12</month>
<year>2019</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>12</month>
<year>2019</year>
</pub-date>
<volume>40</volume>
<numero>3</numero>
<fpage>72</fpage>
<lpage>78</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://scielo.sld.cu/scielo.php?script=sci_arttext&amp;pid=S1815-59282019000300072&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://scielo.sld.cu/scielo.php?script=sci_abstract&amp;pid=S1815-59282019000300072&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://scielo.sld.cu/scielo.php?script=sci_pdf&amp;pid=S1815-59282019000300072&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="en"><p><![CDATA[ABSTRACT The first step in most face recognition systems is the alignment of the detected faces. When the faces present large pose variations, the alignment process should be able to generate frontal face images. Different methods have been proposed for face frontalization, but in general, they are not able to reconstruct a frontal image from a complete face profile image. In this paper we extend a face frontalization method based on the 3D Generic Elastic Model (3DGEM), in order to be able of recovering frontal faces from profile images. First, it is determined if the image is a right or a left profile. We train a method based on Active Shape Models (ASM) in order to detect landmark points on profile faces. Then a relationship is established between the profile landmark points and the landmarks located in a 3D face model, which is efficiently adjusted to the image and further frontalized. Face symmetry is taken into account for projecting the appearance of the frontalized face image. The proposal was evaluated by frontalizing the facial images in ICB-RW and CFPW databases. We show the importance of the frontalization process in the classification accuracy.]]></p></abstract>
<abstract abstract-type="short" xml:lang="es"><p><![CDATA[RESUMEN El primer paso en la mayoría de los sistemas de reconocimiento facial, es la alineación de los rostros detectados. Cuando los rostros presentan largas variaciones de pose, el proceso de alineación debe ser capaz de generar rostros frontales. Diferentes métodos han sido propuestos para la frontalización de los rostros, pero la mayoría de estos no son capaces de reconstruir una imagen frontal desde un rostro completamente de perfil. En este trabajo, se extiende un método de frontalización, basado en los Modelos 3D Elásticos Genéricos (3DGEM), con el objetivo de recuperar imágenes frontales a partir de rostros de perfil. Primero, se determina si la imagen corresponde a un rostro de perfil derecho o de perfil izquierdo. Se entrena un Modelo de Forma Activa (ASM) para detectar los puntos característicos en los rostros de perfil. Luego, se establece una relación entre los puntos característicos del perfil y los puntos localizados en el modelo 3D, que es ajustado de manera eficiente a la imagen para ser frontalizada. Se tiene en cuenta la simetría del rostro para proyectar la apariencia del rostro frontalizado. La propuesta es evaluada mediante la frontalización de las imágenes faciales en las bases de datos ICB-RW y CFPW. Se muestra la importancia de la frontalización para el correcto reconocimiento de los rostros.]]></p></abstract>
<kwd-group>
<kwd lng="en"><![CDATA[face frontalization]]></kwd>
<kwd lng="en"><![CDATA[profile faces]]></kwd>
<kwd lng="en"><![CDATA[profile landmarks detection]]></kwd>
<kwd lng="es"><![CDATA[frontalización del rostro]]></kwd>
<kwd lng="es"><![CDATA[rostros de perfil]]></kwd>
<kwd lng="es"><![CDATA[detección de puntos característicos en rostros de perfil]]></kwd>
</kwd-group>
</article-meta>
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