Analysis of Methods for Extraction of Information on Images with Low-Depth of Field

Página do item simplificado
dc.contributor.authorDe Luca F. P.
dc.contributor.authorCarlos E. Thomaz
dc.contributor.authorOrcidhttps://orcid.org/0000-0001-5566-1963
dc.date.accessioned2022-01-12T21:59:49Z
dc.date.available2022-01-12T21:59:49Z
dc.date.issued2015-09-22
dc.description.abstractCopyright © 2015 SAE International.In order to make devices partially or completely autonomous, it is imperative nowadays to extract relevant information from the myriad of data available. In the last years, it has become very common to use images as signals of interest to propose feasible solution to this problem. Image recognition can be used with high accuracy rates when the object of interest or the environment are controlled or well known. However, in open urban spaces, for instance, where there are all sorts of visual artifacts and stimuli (information), the segmentation of the object of interest (foreground) from the rest of the image (background) is a challenging issue. One possible way to tackle this problem is to use low-depth of field images, which analogously to our visual perception highlight the object of interest from the rest of the image. In this work, some methods and algorithms for segmenting low-depth of field images are analyzed and compared, providing an updated and contextualized version of the state-of-the-art of this topic.
dc.description.issuenumberSeptember
dc.description.volume2015-September
dc.identifier.citationDE LUCA, F. P.; THOMAZ, C. E. Analysis of Methods for Extraction of Information on Images with Low-Depth of Field. SAE Technical Papers, v. 2015-September, n. september, 2016.
dc.identifier.doi10.4271/2015-36-0225
dc.identifier.issn0148-7191
dc.identifier.urihttps://repositorio.fei.edu.br/handle/FEI/3958
dc.relation.ispartofSAE Technical Papers
dc.rightsAcesso Restrito
dc.titleAnalysis of Methods for Extraction of Information on Images with Low-Depth of Field
dc.typeArtigo de evento
fei.scopus.citations0
fei.scopus.eid2-s2.0-85018920092
fei.scopus.subjectExtraction of information
fei.scopus.subjectFeasible solution
fei.scopus.subjectHigh-accuracy
fei.scopus.subjectLow depth of field
fei.scopus.subjectSignals of interests
fei.scopus.subjectState of the art
fei.scopus.subjectVisual artifacts
fei.scopus.subjectVisual perception
fei.scopus.updated2024-07-01
fei.scopus.urlhttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85018920092&origin=inward
Arquivos
Coleções
Artigos