Please use this identifier to cite or link to this item: https://repositorio.ufma.br/jspui/handle/1/305
Title: Automatic Eye Detection Using Semivariogram Function and Support Vector Machine
Authors: Almeida, João Dallyson Sousa de
Silva, Aristófanes Corrêa
Paiva, Anselmo Cardoso
Keywords: Automatic eye detection
semivariogram function
support vector machine (SVM)
Issue Date: 2010
Citation: Almeida, João Dallyson Sousa de ; Silva, Aristófanes Corrêa; Paiva, Anselmo Cardoso. Automatic Eye Detection Using Semivariogram Function and Support Vector Machine. In: 17th International Conference on Systems, Signals and Image Processing (IWSSIP 2010), 2010, Rio de Janeiro. 17th International Conference on Systems, Signals and Image Processing. Niterói : EdUFF - Editora da Universidade Federal Fluminense, 2010. p. 174-177.
Abstract: Several computational systems which depend on the precise location of the eyes have been developed in the last decades. Aware of this need, we propose a method for automatic detection of eyes in images of human faces using semivariogram functions and support vector machines. Patterns of eyes region and other areas of the face are represented through the semivariogram function to precisely distinguish the region of the eyes. The method was tested in the ORL human face database, which contains 400 images grouped in 40 persons, each having 10 different expressions. The detection obtained results of sensitivity of 84.6%, specificity of 93.4% and accuracy of 88.45%.
Description: Também disponível em: http://www.ic.uff.br/iwssip2010/Proceedings/nav/papers/paper_56.pdf
URI: http://gurupi.ufma.br:8080/jspui/1/305
Appears in Collections:Mestrado em Engenharia de Eletricidade/Trabalhos Apresentados em Eventos Cientificos

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