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 |
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