Registration of plantar pressure images

Detalhes bibliográficos
Autor(a) principal: Francisco P. M. Oliveira
Data de Publicação: 2011
Outros Autores: João Manuel R. S. Tavares
Tipo de documento: Livro
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: https://hdl.handle.net/10216/54033
Resumo: We present an analysis of four different algorithms used to register plantar pressure images: a first one based on the matching of the external contours of the feet, a second algorithm based on the technique of phase correlation, a third one based on the direct optimization of the cross-correlation (CC) and using the Fourier transform, and a fourth and last algorithm that is based on the iterative optimization of an intensity (dis)similarity measure. In terms of accuracy, the later algorithm achieved the best registration results; on the other hand, the algorithm based on the matching of contours was the fastest, but its accuracy was inferior to the accuracy of the remaining algorithms.
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spelling Registration of plantar pressure imagesBiomecânica, Engenharia mecânicaBiomechanics, Mechanical engineeringWe present an analysis of four different algorithms used to register plantar pressure images: a first one based on the matching of the external contours of the feet, a second algorithm based on the technique of phase correlation, a third one based on the direct optimization of the cross-correlation (CC) and using the Fourier transform, and a fourth and last algorithm that is based on the iterative optimization of an intensity (dis)similarity measure. In terms of accuracy, the later algorithm achieved the best registration results; on the other hand, the algorithm based on the matching of contours was the fastest, but its accuracy was inferior to the accuracy of the remaining algorithms.20112011-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/bookapplication/pdfhttps://hdl.handle.net/10216/54033engFrancisco P. M. OliveiraJoão Manuel R. S. Tavaresinfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-11-29T14:50:54Zoai:repositorio-aberto.up.pt:10216/54033Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T00:09:57.953087Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Registration of plantar pressure images
title Registration of plantar pressure images
spellingShingle Registration of plantar pressure images
Francisco P. M. Oliveira
Biomecânica, Engenharia mecânica
Biomechanics, Mechanical engineering
title_short Registration of plantar pressure images
title_full Registration of plantar pressure images
title_fullStr Registration of plantar pressure images
title_full_unstemmed Registration of plantar pressure images
title_sort Registration of plantar pressure images
author Francisco P. M. Oliveira
author_facet Francisco P. M. Oliveira
João Manuel R. S. Tavares
author_role author
author2 João Manuel R. S. Tavares
author2_role author
dc.contributor.author.fl_str_mv Francisco P. M. Oliveira
João Manuel R. S. Tavares
dc.subject.por.fl_str_mv Biomecânica, Engenharia mecânica
Biomechanics, Mechanical engineering
topic Biomecânica, Engenharia mecânica
Biomechanics, Mechanical engineering
description We present an analysis of four different algorithms used to register plantar pressure images: a first one based on the matching of the external contours of the feet, a second algorithm based on the technique of phase correlation, a third one based on the direct optimization of the cross-correlation (CC) and using the Fourier transform, and a fourth and last algorithm that is based on the iterative optimization of an intensity (dis)similarity measure. In terms of accuracy, the later algorithm achieved the best registration results; on the other hand, the algorithm based on the matching of contours was the fastest, but its accuracy was inferior to the accuracy of the remaining algorithms.
publishDate 2011
dc.date.none.fl_str_mv 2011
2011-01-01T00:00:00Z
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url https://hdl.handle.net/10216/54033
dc.language.iso.fl_str_mv eng
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