3D mesh interest point detection using GISIFs and heat diffusion

Descripción del Articulo

To facilitate processing of 3D objects is common to use high-level representations. The interest points are one of them. An interest point should possess a distinctive feature regarding its locality and should be stable in different instances of the object. This article proposes a descriptor based o...

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Detalles Bibliográficos
Autores: López Del Alamo, Cristian, Hurtado, Jan, Coaquira, Madeley
Formato: artículo
Fecha de Publicación:2015
Institución:Universidad La Salle
Repositorio:ULASALLE-Institucional
Lenguaje:inglés
OAI Identifier:oai:repositorio.ulasalle.edu.pe:20.500.12953/10
Enlace del recurso:http://repositorio.ulasalle.edu.pe/handle/20.500.12953/10
Nivel de acceso:acceso abierto
Materia:Computación Gráfica
Ciencias de la Computación
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dc.title.es_ES.fl_str_mv 3D mesh interest point detection using GISIFs and heat diffusion
title 3D mesh interest point detection using GISIFs and heat diffusion
spellingShingle 3D mesh interest point detection using GISIFs and heat diffusion
López Del Alamo, Cristian
Computación Gráfica
Ciencias de la Computación
title_short 3D mesh interest point detection using GISIFs and heat diffusion
title_full 3D mesh interest point detection using GISIFs and heat diffusion
title_fullStr 3D mesh interest point detection using GISIFs and heat diffusion
title_full_unstemmed 3D mesh interest point detection using GISIFs and heat diffusion
title_sort 3D mesh interest point detection using GISIFs and heat diffusion
author López Del Alamo, Cristian
author_facet López Del Alamo, Cristian
Hurtado, Jan
Coaquira, Madeley
author_role author
author2 Hurtado, Jan
Coaquira, Madeley
author2_role author
author
dc.contributor.author.fl_str_mv López Del Alamo, Cristian
Hurtado, Jan
Coaquira, Madeley
dc.subject.es_ES.fl_str_mv Computación Gráfica
topic Computación Gráfica
Ciencias de la Computación
dc.subject.ocde.es_ES.fl_str_mv Ciencias de la Computación
description To facilitate processing of 3D objects is common to use high-level representations. The interest points are one of them. An interest point should possess a distinctive feature regarding its locality and should be stable in different instances of the object. This article proposes a descriptor based on symmetry (GISIFs) and heat diffusion (HKS). From this features, we select a set of representative points. The GISIFs referenced in this article has not been used to extract local features. We compare our results with the results of other techniques, which make up the state of the art in interest point detection. We use a benchmark that evaluates the accuracy of the selected points with respect to an ideal set of interest points.
publishDate 2015
dc.date.accessioned.none.fl_str_mv 2017-08-16T16:26:50Z
dc.date.available.none.fl_str_mv 2017-08-16T16:26:50Z
dc.date.issued.fl_str_mv 2015-10-19
dc.type.es_ES.fl_str_mv info:eu-repo/semantics/article
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dc.identifier.citation.es_ES.fl_str_mv @INPROCEEDINGS{7360008, author={J. Hurtado and M. Coaquira and C. Lopez}, booktitle={2015 Latin American Computing Conference (CLEI)}, title={3D mesh interest point detection using GISIFs and heat diffusion}, year={2015}, pages={1-10}, keywords={feature extraction;image representation;object detection;3D mesh Interest point detection;GISIF;HKS;heat diffusion;high-level representations;local feature extraction;Benchmark testing;Feature extraction;Heating;Kernel;Silicon;Solid modeling;Three-dimensional displays;GISIFs;Heat Kernel Signature;Laplace-Beltrami operator;geometry processing;interest point}, doi={10.1109/CLEI.2015.7360008}, month={Oct},}
dc.identifier.isbn.none.fl_str_mv 978-1-4673-9143-6
dc.identifier.uri.none.fl_str_mv http://repositorio.ulasalle.edu.pe/handle/20.500.12953/10
dc.identifier.doi.es_ES.fl_str_mv 10.1109/CLEI.2015.7360008
identifier_str_mv @INPROCEEDINGS{7360008, author={J. Hurtado and M. Coaquira and C. Lopez}, booktitle={2015 Latin American Computing Conference (CLEI)}, title={3D mesh interest point detection using GISIFs and heat diffusion}, year={2015}, pages={1-10}, keywords={feature extraction;image representation;object detection;3D mesh Interest point detection;GISIF;HKS;heat diffusion;high-level representations;local feature extraction;Benchmark testing;Feature extraction;Heating;Kernel;Silicon;Solid modeling;Three-dimensional displays;GISIFs;Heat Kernel Signature;Laplace-Beltrami operator;geometry processing;interest point}, doi={10.1109/CLEI.2015.7360008}, month={Oct},}
978-1-4673-9143-6
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dc.language.iso.eng_US.fl_str_mv eng
language eng
dc.rights.es_ES.fl_str_mv info:eu-repo/semantics/openAccess
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dc.format.es_ES.fl_str_mv application/msword
dc.publisher.es_ES.fl_str_mv Computing Conference (CLEI), 2015 Latin American
dc.source.es_ES.fl_str_mv Universidad La Salle
Repositorio Institucional - ULASALLE
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spelling López Del Alamo, CristianHurtado, JanCoaquira, Madeley2017-08-16T16:26:50Z2017-08-16T16:26:50Z2015-10-19@INPROCEEDINGS{7360008, author={J. Hurtado and M. Coaquira and C. Lopez}, booktitle={2015 Latin American Computing Conference (CLEI)}, title={3D mesh interest point detection using GISIFs and heat diffusion}, year={2015}, pages={1-10}, keywords={feature extraction;image representation;object detection;3D mesh Interest point detection;GISIF;HKS;heat diffusion;high-level representations;local feature extraction;Benchmark testing;Feature extraction;Heating;Kernel;Silicon;Solid modeling;Three-dimensional displays;GISIFs;Heat Kernel Signature;Laplace-Beltrami operator;geometry processing;interest point}, doi={10.1109/CLEI.2015.7360008}, month={Oct},}978-1-4673-9143-6http://repositorio.ulasalle.edu.pe/handle/20.500.12953/1010.1109/CLEI.2015.7360008To facilitate processing of 3D objects is common to use high-level representations. The interest points are one of them. An interest point should possess a distinctive feature regarding its locality and should be stable in different instances of the object. This article proposes a descriptor based on symmetry (GISIFs) and heat diffusion (HKS). From this features, we select a set of representative points. The GISIFs referenced in this article has not been used to extract local features. We compare our results with the results of other techniques, which make up the state of the art in interest point detection. 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3D mesh interest point detection using GISIFs and heat diffusion
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