Automatic analysis of ocular focus detection based on visual features

Detalhes bibliográficos
Autor(a) principal: NASCIMENTO, D. O.
Data de Publicação: 2019
Outros Autores: OLIVEIRA, G. A., LOPES, Guilherme, RODRIGUES, Paulo
Tipo de documento: Artigo
Título da fonte: Biblioteca Digital de Teses e Dissertações da FEI
Texto Completo: https://repositorio.fei.edu.br/handle/FEI/1011
http://www.jmest.org/wp-content/uploads/JMESTN42352809.pdf
Resumo: 6
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spelling NASCIMENTO, D. O.OLIVEIRA, G. A.LOPES, GuilhermeRODRIGUES, Paulo2019-08-17T20:00:30Z2019-08-17T20:00:30Z2019NASCIMENTO, D. O.; OLIVEIRA, G. A.; LOPES, Guilherme.; RODRIGUES, Paulo. Automatic analysis of ocular focus detection based on visual features. Journal of Multidisciplinary Engineering Science and Technology (JMEST), v. 6, p. 9396, 2019.2458-9403https://repositorio.fei.edu.br/handle/FEI/1011http://www.jmest.org/wp-content/uploads/JMESTN42352809.pdfJournal of Multidisciplinary Engineering Science and Technology (JMEST)Automatic analysis of ocular focus detection based on visual featuresinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article693969410The human eye focusing is one of the most important tasks in the cognitive process of scene interpretation. The ability to estimate the focusing regions may vary according to the used algorithm and the image being analyzed, bringing a satisfactory efficiency in a specific set of images. This paper studies 9 methods proposed in the last decade, using 21 different features, discovering relations between the information within the images and the efficiency of the prediction. Using a supervised database, this paper shows that dispersion features for intensity data and color are more significant for the method efficiency than those based only on the average of the data. Besides, this paper proposes and analyses the capacity of Machine Learning techniques in identifying patterns inside the original images and selecting the most appropriate method to estimate focusing pointsThe human eye focusing is one of the most important tasks in the cognitive process of scene interpretation. The ability to estimate the focusing regions may vary according to the used algorithm and the image being analyzed, bringing a satisfactory efficiency in a specific set of images. This paper studies 9 methods proposed in the last decade, using 21 different features, discovering relations between the information within the images and the efficiency of the prediction. Using a supervised database, this paper shows that dispersion features for intensity data and color are more significant for the method efficiency than those based only on the verage of the data. Besides, this paper proposes and analyses the capacity of Machine Learning techniques in identifying patterns inside the original images and selecting the most appropriate method to estimate focusing points.Automatic focus detectionComputational visionAutomatic focus detectionFocus analysisComputational visioninfo:eu-repo/semantics/openAccessreponame:Biblioteca Digital de Teses e Dissertações da FEIinstname:Centro Universitário da Fundação Educacional Inaciana (FEI)instacron:FEIORIGINALRI_1011.pdfRI_1011.pdfapplication/pdf1465233https://repositorio.fei.edu.br/bitstream/FEI/1011/1/RI_1011.pdf2c887170994c4e37cf6fdddb13191fb7MD51TEXTRI_1011.pdf.txtRI_1011.pdf.txtExtracted texttext/plain63888https://repositorio.fei.edu.br/bitstream/FEI/1011/2/RI_1011.pdf.txt50698c00329a5e4e106db6a7e84b7df3MD52THUMBNAILRI_1011.pdf.jpgRI_1011.pdf.jpgGenerated Thumbnailimage/jpeg1884https://repositorio.fei.edu.br/bitstream/FEI/1011/3/RI_1011.pdf.jpg5609b30b2b728c33dc1e2e7d698a5de9MD53FEI/10112019-10-25 00:01:29.219Biblioteca Digital de Teses e Dissertaçõeshttp://sofia.fei.edu.br/pergamum/biblioteca/PRI
dc.title.pt_BR.fl_str_mv Automatic analysis of ocular focus detection based on visual features
title Automatic analysis of ocular focus detection based on visual features
spellingShingle Automatic analysis of ocular focus detection based on visual features
NASCIMENTO, D. O.
Automatic focus detection
Computational vision
Automatic focus detection
Focus analysis
Computational vision
title_short Automatic analysis of ocular focus detection based on visual features
title_full Automatic analysis of ocular focus detection based on visual features
title_fullStr Automatic analysis of ocular focus detection based on visual features
title_full_unstemmed Automatic analysis of ocular focus detection based on visual features
title_sort Automatic analysis of ocular focus detection based on visual features
author NASCIMENTO, D. O.
author_facet NASCIMENTO, D. O.
OLIVEIRA, G. A.
LOPES, Guilherme
RODRIGUES, Paulo
author_role author
author2 OLIVEIRA, G. A.
LOPES, Guilherme
RODRIGUES, Paulo
author2_role author
author
author
dc.contributor.author.fl_str_mv NASCIMENTO, D. O.
OLIVEIRA, G. A.
LOPES, Guilherme
RODRIGUES, Paulo
dc.subject.eng.fl_str_mv Automatic focus detection
Computational vision
Automatic focus detection
Focus analysis
Computational vision
topic Automatic focus detection
Computational vision
Automatic focus detection
Focus analysis
Computational vision
description 6
publishDate 2019
dc.date.accessioned.fl_str_mv 2019-08-17T20:00:30Z
dc.date.available.fl_str_mv 2019-08-17T20:00:30Z
dc.date.issued.fl_str_mv 2019
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dc.identifier.citation.fl_str_mv NASCIMENTO, D. O.; OLIVEIRA, G. A.; LOPES, Guilherme.; RODRIGUES, Paulo. Automatic analysis of ocular focus detection based on visual features. Journal of Multidisciplinary Engineering Science and Technology (JMEST), v. 6, p. 9396, 2019.
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dc.identifier.issn.none.fl_str_mv 2458-9403
dc.identifier.url.none.fl_str_mv http://www.jmest.org/wp-content/uploads/JMESTN42352809.pdf
identifier_str_mv NASCIMENTO, D. O.; OLIVEIRA, G. A.; LOPES, Guilherme.; RODRIGUES, Paulo. Automatic analysis of ocular focus detection based on visual features. Journal of Multidisciplinary Engineering Science and Technology (JMEST), v. 6, p. 9396, 2019.
2458-9403
url https://repositorio.fei.edu.br/handle/FEI/1011
http://www.jmest.org/wp-content/uploads/JMESTN42352809.pdf
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