Fundamentals of automated human gesture recognition using 3D integral imaging: a tutorial
Impacto
Scholar |
Otros documentos de la autoría: Javidi, Bahram; Pla, Filiberto; Martínez Sotoca, José; Shen, Xin; Latorre Carmona, Pedro; Martínez Corral, Manuel; Fernandez-Beltran, Ruben; Krishnan, Gokul
Metadatos
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INVESTIGACIONMetadatos
Título
Fundamentals of automated human gesture recognition using 3D integral imaging: a tutorialAutoría
Fecha de publicación
2020-12-31Editor
Optical Society of AmericaISSN
1943-8206Cita bibliográfica
Bahram Javidi, Filiberto Pla, José M. Sotoca, Xin Shen, Pedro Latorre-Carmona, Manuel Martínez-Corral, Rubén Fernández-Beltrán, and Gokul Krishnan, "Fundamentals of automated human gesture recognition using 3D integral imaging: a tutorial," Adv. Opt. Photon. 12, 1237-1299 (2020)Tipo de documento
info:eu-repo/semantics/articleVersión de la editorial
https://www.osapublishing.org/aop/fulltext.cfm?uri=aop-12-4-1237Versión
info:eu-repo/semantics/publishedVersionPalabras clave / Materias
Resumen
Automated human gesture recognition is receiving significant research interest, with applications ranging from novel acquisition techniques to algorithms, data processing, and classification methodologies. This tutorial ... [+]
Automated human gesture recognition is receiving significant research interest, with applications ranging from novel acquisition techniques to algorithms, data processing, and classification methodologies. This tutorial presents an overview of the fundamental components and basics of the current 3D optical image acquisition technologies for gesture recognition, including the most promising algorithms. Experimental results illustrate some examples of 3D integral imaging, which are compared to conventional 2D optical imaging. Examples of classifying human gestures under normal and degraded conditions, such as low illumination and the presence of partial occlusions, are provided. This tutorial is aimed at an audience who may or may not be familiar with gesture recognition approaches, current 3D optical image acquisition techniques, and classification algorithms and methodologies applied to human gesture recognition. [-]
Publicado en
Advances in Optics and Photonics, 2020, vol. 12, no 4Entidad financiadora
Generalitat Valenciana: PROMETEO/2019/048; Air Force Office of Scientific Research: FA9550-18-1-0338; Ministerio de Ciencia, Innovación y Universidades: RTI2018-099041-B-I00; Office of Naval Research: N000141712405,N000142012690,N000141712561
Derechos de acceso
© Copyright The Optical Society
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info:eu-repo/semantics/openAccess
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info:eu-repo/semantics/openAccess
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