Combination of attributes in stereovision matching for fish-eye lenses in forest analysis

This paper describes a novel stereovision matching approach by combining several attributes at the pixel level for omni-directional images obtained with fish-eye lenses in forest environments. The goal is to obtain a disparity map as a previous step for determining distances to the trees and then th...

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Detalles Bibliográficos
Autores: Cruz García, Jesús Manuel de la, Herrera Caro, Pedro Javier, Pajares Martínsanz, Gonzalo, Guijarro Mata-García, María, Ruz Ortiz, José Jaime
Tipo de recurso: capítulo de libro
Fecha de publicación:2009
País:España
Institución:Universidad Complutense de Madrid (UCM)
Repositorio:Docta Complutense
Idioma:inglés
OAI Identifier:oai:docta.ucm.es:20.500.14352/53277
Acceso en línea:https://hdl.handle.net/20.500.14352/53277
Access Level:acceso abierto
Palabra clave:004
Algorithms
Informática (Informática)
1203.17 Informática
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spelling Combination of attributes in stereovision matching for fish-eye lenses in forest analysisCruz García, Jesús Manuel de laHerrera Caro, Pedro JavierPajares Martínsanz, GonzaloGuijarro Mata-García, MaríaRuz Ortiz, José Jaime004AlgorithmsInformática (Informática)1203.17 InformáticaThis paper describes a novel stereovision matching approach by combining several attributes at the pixel level for omni-directional images obtained with fish-eye lenses in forest environments. The goal is to obtain a disparity map as a previous step for determining distances to the trees and then the volume of wood in the imaged area. The interest is focused on the trunks of the trees. Because of the irregular distribution of the trunks, the most suitable features are the pixels. A set of six attributes is used for establishing the matching between the pixels in both images of the stereo pair. The final decision about the matched pixels is taken by combining the attributes. Two combined strategies are proposed: the Sugeno Fuzzy Integral and the Dempster-Shafer theory. The combined strategies, applied to our specific stereo vision matching problem, make the main finding of the paper. In both, the combination is based on the application of three well known matching constraints. The proposed approaches are compared among them and favourably against the usage of simple features.Springer-Verlag BerlinUniversidad Complutense de Madrid20092009-01-0120092009-01-01book parthttp://purl.org/coar/resource_type/c_3248info:eu-repo/semantics/bookPartapplication/pdfhttps://hdl.handle.net/20.500.14352/53277reponame:Docta Complutenseinstname:Universidad Complutense de Madrid (UCM)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2info:eu-repo/semantics/openAccessoai:docta.ucm.es:20.500.14352/532772026-06-02T12:44:21Z
dc.title.none.fl_str_mv Combination of attributes in stereovision matching for fish-eye lenses in forest analysis
title Combination of attributes in stereovision matching for fish-eye lenses in forest analysis
spellingShingle Combination of attributes in stereovision matching for fish-eye lenses in forest analysis
Cruz García, Jesús Manuel de la
004
Algorithms
Informática (Informática)
1203.17 Informática
title_short Combination of attributes in stereovision matching for fish-eye lenses in forest analysis
title_full Combination of attributes in stereovision matching for fish-eye lenses in forest analysis
title_fullStr Combination of attributes in stereovision matching for fish-eye lenses in forest analysis
title_full_unstemmed Combination of attributes in stereovision matching for fish-eye lenses in forest analysis
title_sort Combination of attributes in stereovision matching for fish-eye lenses in forest analysis
dc.creator.none.fl_str_mv Cruz García, Jesús Manuel de la
Herrera Caro, Pedro Javier
Pajares Martínsanz, Gonzalo
Guijarro Mata-García, María
Ruz Ortiz, José Jaime
author Cruz García, Jesús Manuel de la
author_facet Cruz García, Jesús Manuel de la
Herrera Caro, Pedro Javier
Pajares Martínsanz, Gonzalo
Guijarro Mata-García, María
Ruz Ortiz, José Jaime
author_role author
author2 Herrera Caro, Pedro Javier
Pajares Martínsanz, Gonzalo
Guijarro Mata-García, María
Ruz Ortiz, José Jaime
author2_role author
author
author
author
dc.contributor.none.fl_str_mv Universidad Complutense de Madrid
dc.subject.none.fl_str_mv 004
Algorithms
Informática (Informática)
1203.17 Informática
topic 004
Algorithms
Informática (Informática)
1203.17 Informática
description This paper describes a novel stereovision matching approach by combining several attributes at the pixel level for omni-directional images obtained with fish-eye lenses in forest environments. The goal is to obtain a disparity map as a previous step for determining distances to the trees and then the volume of wood in the imaged area. The interest is focused on the trunks of the trees. Because of the irregular distribution of the trunks, the most suitable features are the pixels. A set of six attributes is used for establishing the matching between the pixels in both images of the stereo pair. The final decision about the matched pixels is taken by combining the attributes. Two combined strategies are proposed: the Sugeno Fuzzy Integral and the Dempster-Shafer theory. The combined strategies, applied to our specific stereo vision matching problem, make the main finding of the paper. In both, the combination is based on the application of three well known matching constraints. The proposed approaches are compared among them and favourably against the usage of simple features.
publishDate 2009
dc.date.none.fl_str_mv 2009
2009-01-01
2009
2009-01-01
dc.type.none.fl_str_mv book part
http://purl.org/coar/resource_type/c_3248
dc.type.openaire.fl_str_mv info:eu-repo/semantics/bookPart
format bookPart
dc.identifier.none.fl_str_mv https://hdl.handle.net/20.500.14352/53277
url https://hdl.handle.net/20.500.14352/53277
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Springer-Verlag Berlin
publisher.none.fl_str_mv Springer-Verlag Berlin
dc.source.none.fl_str_mv reponame:Docta Complutense
instname:Universidad Complutense de Madrid (UCM)
instname_str Universidad Complutense de Madrid (UCM)
reponame_str Docta Complutense
collection Docta Complutense
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15.301603

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