A fast and accurate approach for computing the dimensions of boxes from single perspective images
Autor(a) principal: | |
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Data de Publicação: | 2006 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Journal of the Brazilian Computer Society |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0104-65002006000300003 |
Resumo: | This paper describes an accurate method for computing the dimensions of boxes directly from perspective projection images acquired by conventional cameras. The approach is based on projective geometry and computes the box dimensions using data extracted from the box silhouette and from the projection of two parallel laser beams on one of the imaged faces of the box. In order to identify the box silhouette, we have developed a statistical model for homogeneous-background-color removal that works with a moving camera, and an efficient voting scheme for the Hough transform that allows the identification of almost collinear groups of pixels. We demonstrate the effectiveness of the proposed approach by automatically computing the dimensions of real boxes using a scanner prototype that implements the algorithms and methods described in the paper. We also present a discussion of the performed measurements, and an error propagation analysis that allows the method to estimate, from each single video frame, the uncertainty associated to all measurements made over that frame, in real-time. |
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Journal of the Brazilian Computer Society |
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A fast and accurate approach for computing the dimensions of boxes from single perspective imagesComputing dimensions of boxesimage-based metrologyextraction of geometric information from scenesuncertainty analysisreal timeThis paper describes an accurate method for computing the dimensions of boxes directly from perspective projection images acquired by conventional cameras. The approach is based on projective geometry and computes the box dimensions using data extracted from the box silhouette and from the projection of two parallel laser beams on one of the imaged faces of the box. In order to identify the box silhouette, we have developed a statistical model for homogeneous-background-color removal that works with a moving camera, and an efficient voting scheme for the Hough transform that allows the identification of almost collinear groups of pixels. We demonstrate the effectiveness of the proposed approach by automatically computing the dimensions of real boxes using a scanner prototype that implements the algorithms and methods described in the paper. We also present a discussion of the performed measurements, and an error propagation analysis that allows the method to estimate, from each single video frame, the uncertainty associated to all measurements made over that frame, in real-time.Sociedade Brasileira de Computação2006-09-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0104-65002006000300003Journal of the Brazilian Computer Society v.12 n.2 2006reponame:Journal of the Brazilian Computer Societyinstname:Sociedade Brasileira de Computação (SBC)instacron:UFRGS10.1007/BF03192392info:eu-repo/semantics/openAccessFernandes,Leandro A. F.Oliveira,Manuel M.Silva,Roberto daCrespo,Gustavo J.eng2010-05-24T00:00:00Zoai:scielo:S0104-65002006000300003Revistahttps://journal-bcs.springeropen.com/PUBhttps://old.scielo.br/oai/scielo-oai.phpjbcs@icmc.sc.usp.br1678-48040104-6500opendoar:2010-05-24T00:00Journal of the Brazilian Computer Society - Sociedade Brasileira de Computação (SBC)false |
dc.title.none.fl_str_mv |
A fast and accurate approach for computing the dimensions of boxes from single perspective images |
title |
A fast and accurate approach for computing the dimensions of boxes from single perspective images |
spellingShingle |
A fast and accurate approach for computing the dimensions of boxes from single perspective images Fernandes,Leandro A. F. Computing dimensions of boxes image-based metrology extraction of geometric information from scenes uncertainty analysis real time |
title_short |
A fast and accurate approach for computing the dimensions of boxes from single perspective images |
title_full |
A fast and accurate approach for computing the dimensions of boxes from single perspective images |
title_fullStr |
A fast and accurate approach for computing the dimensions of boxes from single perspective images |
title_full_unstemmed |
A fast and accurate approach for computing the dimensions of boxes from single perspective images |
title_sort |
A fast and accurate approach for computing the dimensions of boxes from single perspective images |
author |
Fernandes,Leandro A. F. |
author_facet |
Fernandes,Leandro A. F. Oliveira,Manuel M. Silva,Roberto da Crespo,Gustavo J. |
author_role |
author |
author2 |
Oliveira,Manuel M. Silva,Roberto da Crespo,Gustavo J. |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
Fernandes,Leandro A. F. Oliveira,Manuel M. Silva,Roberto da Crespo,Gustavo J. |
dc.subject.por.fl_str_mv |
Computing dimensions of boxes image-based metrology extraction of geometric information from scenes uncertainty analysis real time |
topic |
Computing dimensions of boxes image-based metrology extraction of geometric information from scenes uncertainty analysis real time |
description |
This paper describes an accurate method for computing the dimensions of boxes directly from perspective projection images acquired by conventional cameras. The approach is based on projective geometry and computes the box dimensions using data extracted from the box silhouette and from the projection of two parallel laser beams on one of the imaged faces of the box. In order to identify the box silhouette, we have developed a statistical model for homogeneous-background-color removal that works with a moving camera, and an efficient voting scheme for the Hough transform that allows the identification of almost collinear groups of pixels. We demonstrate the effectiveness of the proposed approach by automatically computing the dimensions of real boxes using a scanner prototype that implements the algorithms and methods described in the paper. We also present a discussion of the performed measurements, and an error propagation analysis that allows the method to estimate, from each single video frame, the uncertainty associated to all measurements made over that frame, in real-time. |
publishDate |
2006 |
dc.date.none.fl_str_mv |
2006-09-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0104-65002006000300003 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0104-65002006000300003 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1007/BF03192392 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
dc.publisher.none.fl_str_mv |
Sociedade Brasileira de Computação |
publisher.none.fl_str_mv |
Sociedade Brasileira de Computação |
dc.source.none.fl_str_mv |
Journal of the Brazilian Computer Society v.12 n.2 2006 reponame:Journal of the Brazilian Computer Society instname:Sociedade Brasileira de Computação (SBC) instacron:UFRGS |
instname_str |
Sociedade Brasileira de Computação (SBC) |
instacron_str |
UFRGS |
institution |
UFRGS |
reponame_str |
Journal of the Brazilian Computer Society |
collection |
Journal of the Brazilian Computer Society |
repository.name.fl_str_mv |
Journal of the Brazilian Computer Society - Sociedade Brasileira de Computação (SBC) |
repository.mail.fl_str_mv |
jbcs@icmc.sc.usp.br |
_version_ |
1754734669920731136 |