Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/16990
Título: Comparison of focus measures in face detection environments
Autores/as: Lorenzo, J. 
Déniz Suárez, Oscar
Castrillon, M. 
Guerra Artal, Cayetano Nicolás
Clasificación UNESCO: 120304 Inteligencia artificial
Palabras clave: Algorithm
Camera
Implementation
Recognition
Microscopy
Fecha de publicación: 2007
Publicación seriada: ICINCO 2007 - 4th International Conference on Informatics in Control, Automation and Robotics, Proceedings
Conferencia: 4th International Conference on Informatics in Control, Automation and Robotics 
4th International Conference on Informatics in Control, Automation and Robotics, ICINCO 2007 
Resumen: This work presents a comparison among different focus measures used in the literature for autofocusing in a non previously explored application of face detection. This application has different characteristics to those where traditionally autofocus methods have been applied like microscopy or depth from focus. The aim of the work is to find if the best focus measures in traditional applications of autofocus have the same performance in face detection applications. To do that six focus measures has been studied in four different settings from the oldest to more recent ones.
URI: http://hdl.handle.net/10553/16990
ISBN: 978-972-8865-83-2
DOI: 10.5220/0001644604180423
Fuente: ICINCO 2007 - 4th International Conference on Informatics in Control, Automation and Robotics, Proceedings,v. 2 RA, p. 418-423
Colección:Actas de congresos
miniatura
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