Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/16990
Title: Comparison of focus measures in face detection environments
Authors: Lorenzo, J. 
Déniz Suárez, Oscar
Castrillon, M. 
Guerra Artal, Cayetano Nicolás
UNESCO Clasification: 120304 Inteligencia artificial
Keywords: Algorithm
Camera
Implementation
Recognition
Microscopy
Issue Date: 2007
Journal: ICINCO 2007 - 4th International Conference on Informatics in Control, Automation and Robotics, Proceedings
Conference: 4th International Conference on Informatics in Control, Automation and Robotics 
4th International Conference on Informatics in Control, Automation and Robotics, ICINCO 2007 
Abstract: 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
Source: ICINCO 2007 - 4th International Conference on Informatics in Control, Automation and Robotics, Proceedings,v. 2 RA, p. 418-423
Appears in Collections:Actas de congresos
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