Improving the pair selection and the model fusion steps of satellite multi-view stereo pipelines

Gómez, Alvaro - Randall, Gregory - Facciolo, Gabriele - Grompone von Gioi, Rafael

Resumen:

Multi-view stereo reconstruction of scenes from satellite images is traditionally performed with a pair-wise stereovision approach: (1) multiple views are grouped into pairs, (2) each pair is processed by two-view stereo methods producing an elevation model or point cloud, lastly (3) the pairwise reconstructions are integrated and filtered to obtain a final result. These steps are organized in a pipeline and the end-to-end performance of reconstructions depends on the behavior of these steps. This work introduces two changes that increase the performance of the reconstructions: a new pair selection approach and a new integration method are presented. The new pair selection replaces commonly used heuristics with a principled criterion that predicts the completeness of a pair based on offline simulations. The presented integration method is based on an iterated bilateral filter. Experiments show that these changes yield a systematic improvement on the performance of the pipeline.


Detalles Bibliográficos
2023
Point cloud compression
Computer vision
Satellites
Systematics
Computational modeling
Pipelines
Predictive models
Applications
Remote Sensing
Inglés
Universidad de la República
COLIBRI
https://ieeexplore.ieee.org/document/10030230
https://openaccess.thecvf.com/content/WACV2023/html/Gomez_Improving_the_Pair_Selection_and_the_Model_Fusion_Steps_of_WACV_2023_paper.html
https://hdl.handle.net/20.500.12008/35934
Acceso abierto
Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0)
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author Gómez, Alvaro
author2 Randall, Gregory
Facciolo, Gabriele
Grompone von Gioi, Rafael
author2_role author
author
author
author_facet Gómez, Alvaro
Randall, Gregory
Facciolo, Gabriele
Grompone von Gioi, Rafael
author_role author
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collection COLIBRI
dc.contributor.filiacion.none.fl_str_mv Gómez Alvaro, Universidad de la República (Uruguay). Facultad de Ingeniería.
Randall Gregory, Universidad de la República (Uruguay). Facultad de Ingeniería.
Facciolo Gabriele, ENS Paris-Saclay, France
Grompone von Gioi Rafael, ENS Paris-Saclay, France
dc.creator.none.fl_str_mv Gómez, Alvaro
Randall, Gregory
Facciolo, Gabriele
Grompone von Gioi, Rafael
dc.date.accessioned.none.fl_str_mv 2023-02-16T20:05:56Z
dc.date.available.none.fl_str_mv 2023-02-16T20:05:56Z
dc.date.issued.none.fl_str_mv 2023
dc.description.abstract.none.fl_txt_mv Multi-view stereo reconstruction of scenes from satellite images is traditionally performed with a pair-wise stereovision approach: (1) multiple views are grouped into pairs, (2) each pair is processed by two-view stereo methods producing an elevation model or point cloud, lastly (3) the pairwise reconstructions are integrated and filtered to obtain a final result. These steps are organized in a pipeline and the end-to-end performance of reconstructions depends on the behavior of these steps. This work introduces two changes that increase the performance of the reconstructions: a new pair selection approach and a new integration method are presented. The new pair selection replaces commonly used heuristics with a principled criterion that predicts the completeness of a pair based on offline simulations. The presented integration method is based on an iterated bilateral filter. Experiments show that these changes yield a systematic improvement on the performance of the pipeline.
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dc.identifier.citation.es.fl_str_mv Gómez, A., Randall, G., Facciolo, G. y otros. Improving the pair selection and the model fusion steps of satellite multi-view stereo pipelines [en línea]. EN: 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Waikoloa, HI, USA, 2-7 jan. 2023, pp. 6333-6342. DOI: 10.1109/WACV56688.2023.00628.
dc.identifier.doi.none.fl_str_mv 10.1109/WACV56688.2023.00628
dc.identifier.uri.none.fl_str_mv https://ieeexplore.ieee.org/document/10030230
https://openaccess.thecvf.com/content/WACV2023/html/Gomez_Improving_the_Pair_Selection_and_the_Model_Fusion_Steps_of_WACV_2023_paper.html
https://hdl.handle.net/20.500.12008/35934
dc.language.iso.none.fl_str_mv en
eng
dc.publisher.es.fl_str_mv IEEE
dc.relation.ispartof.es.fl_str_mv 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Waikoloa, HI, USA, 2-7 jan. 2023, pp. 6333-6342.
dc.rights.license.none.fl_str_mv Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0)
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
dc.source.none.fl_str_mv reponame:COLIBRI
instname:Universidad de la República
instacron:Universidad de la República
dc.subject.es.fl_str_mv Point cloud compression
Computer vision
Satellites
Systematics
Computational modeling
Pipelines
Predictive models
Applications
Remote Sensing
dc.title.none.fl_str_mv Improving the pair selection and the model fusion steps of satellite multi-view stereo pipelines
dc.type.es.fl_str_mv Ponencia
dc.type.none.fl_str_mv info:eu-repo/semantics/conferenceObject
dc.type.version.none.fl_str_mv info:eu-repo/semantics/publishedVersion
description Multi-view stereo reconstruction of scenes from satellite images is traditionally performed with a pair-wise stereovision approach: (1) multiple views are grouped into pairs, (2) each pair is processed by two-view stereo methods producing an elevation model or point cloud, lastly (3) the pairwise reconstructions are integrated and filtered to obtain a final result. These steps are organized in a pipeline and the end-to-end performance of reconstructions depends on the behavior of these steps. This work introduces two changes that increase the performance of the reconstructions: a new pair selection approach and a new integration method are presented. The new pair selection replaces commonly used heuristics with a principled criterion that predicts the completeness of a pair based on offline simulations. The presented integration method is based on an iterated bilateral filter. Experiments show that these changes yield a systematic improvement on the performance of the pipeline.
eu_rights_str_mv openAccess
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identifier_str_mv Gómez, A., Randall, G., Facciolo, G. y otros. Improving the pair selection and the model fusion steps of satellite multi-view stereo pipelines [en línea]. EN: 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Waikoloa, HI, USA, 2-7 jan. 2023, pp. 6333-6342. DOI: 10.1109/WACV56688.2023.00628.
10.1109/WACV56688.2023.00628
instacron_str Universidad de la República
institution Universidad de la República
instname_str Universidad de la República
language eng
language_invalid_str_mv en
network_acronym_str COLIBRI
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publishDate 2023
reponame_str COLIBRI
repository.mail.fl_str_mv mabel.seroubian@seciu.edu.uy
repository.name.fl_str_mv COLIBRI - Universidad de la República
repository_id_str 4771
rights_invalid_str_mv Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0)
spelling Gómez Alvaro, Universidad de la República (Uruguay). Facultad de Ingeniería.Randall Gregory, Universidad de la República (Uruguay). Facultad de Ingeniería.Facciolo Gabriele, ENS Paris-Saclay, FranceGrompone von Gioi Rafael, ENS Paris-Saclay, France2023-02-16T20:05:56Z2023-02-16T20:05:56Z2023Gómez, A., Randall, G., Facciolo, G. y otros. Improving the pair selection and the model fusion steps of satellite multi-view stereo pipelines [en línea]. EN: 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Waikoloa, HI, USA, 2-7 jan. 2023, pp. 6333-6342. DOI: 10.1109/WACV56688.2023.00628.https://ieeexplore.ieee.org/document/10030230https://openaccess.thecvf.com/content/WACV2023/html/Gomez_Improving_the_Pair_Selection_and_the_Model_Fusion_Steps_of_WACV_2023_paper.htmlhttps://hdl.handle.net/20.500.12008/3593410.1109/WACV56688.2023.00628Multi-view stereo reconstruction of scenes from satellite images is traditionally performed with a pair-wise stereovision approach: (1) multiple views are grouped into pairs, (2) each pair is processed by two-view stereo methods producing an elevation model or point cloud, lastly (3) the pairwise reconstructions are integrated and filtered to obtain a final result. These steps are organized in a pipeline and the end-to-end performance of reconstructions depends on the behavior of these steps. This work introduces two changes that increase the performance of the reconstructions: a new pair selection approach and a new integration method are presented. The new pair selection replaces commonly used heuristics with a principled criterion that predicts the completeness of a pair based on offline simulations. The presented integration method is based on an iterated bilateral filter. Experiments show that these changes yield a systematic improvement on the performance of the pipeline.Submitted by Ribeiro Jorge (jribeiro@fing.edu.uy) on 2023-02-16T16:55:48Z No. of bitstreams: 2 license_rdf: 23149 bytes, checksum: 1996b8461bc290aef6a27d78c67b6b52 (MD5) GRFG23.pdf: 2055398 bytes, checksum: 6a58e0cb0331b02e4fb5190672186dcc (MD5)Approved for entry into archive by Machado Jimena (jmachado@fing.edu.uy) on 2023-02-16T17:50:26Z (GMT) No. of bitstreams: 2 license_rdf: 23149 bytes, checksum: 1996b8461bc290aef6a27d78c67b6b52 (MD5) GRFG23.pdf: 2055398 bytes, checksum: 6a58e0cb0331b02e4fb5190672186dcc (MD5)Made available in DSpace by Seroubian Mabel (mabel.seroubian@seciu.edu.uy) on 2023-02-16T20:05:56Z (GMT). No. of bitstreams: 2 license_rdf: 23149 bytes, checksum: 1996b8461bc290aef6a27d78c67b6b52 (MD5) GRFG23.pdf: 2055398 bytes, checksum: 6a58e0cb0331b02e4fb5190672186dcc (MD5) Previous issue date: 202310 p.application/pdfenengIEEE2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Waikoloa, HI, USA, 2-7 jan. 2023, pp. 6333-6342.Las obras depositadas en el Repositorio se rigen por la Ordenanza de los Derechos de la Propiedad Intelectual de la Universidad de la República.(Res. Nº 91 de C.D.C. de 8/III/1994 – D.O. 7/IV/1994) y por la Ordenanza del Repositorio Abierto de la Universidad de la República (Res. Nº 16 de C.D.C. de 07/10/2014)info:eu-repo/semantics/openAccessLicencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0)Point cloud compressionComputer visionSatellitesSystematicsComputational modelingPipelinesPredictive modelsApplicationsRemote SensingImproving the pair selection and the model fusion steps of satellite multi-view stereo pipelinesPonenciainfo:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionreponame:COLIBRIinstname:Universidad de la Repúblicainstacron:Universidad de la RepúblicaGómez, AlvaroRandall, GregoryFacciolo, GabrieleGrompone von Gioi, RafaelProcesamiento de SeñalesTratamiento de ImágenesLICENSElicense.txtlicense.txttext/plain; charset=utf-84267http://localhost:8080/xmlui/bitstream/20.500.12008/35934/5/license.txt6429389a7df7277b72b7924fdc7d47a9MD55CC-LICENSElicense_urllicense_urltext/plain; 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- Universidad de la Repúblicafalse
spellingShingle Improving the pair selection and the model fusion steps of satellite multi-view stereo pipelines
Gómez, Alvaro
Point cloud compression
Computer vision
Satellites
Systematics
Computational modeling
Pipelines
Predictive models
Applications
Remote Sensing
status_str publishedVersion
title Improving the pair selection and the model fusion steps of satellite multi-view stereo pipelines
title_full Improving the pair selection and the model fusion steps of satellite multi-view stereo pipelines
title_fullStr Improving the pair selection and the model fusion steps of satellite multi-view stereo pipelines
title_full_unstemmed Improving the pair selection and the model fusion steps of satellite multi-view stereo pipelines
title_short Improving the pair selection and the model fusion steps of satellite multi-view stereo pipelines
title_sort Improving the pair selection and the model fusion steps of satellite multi-view stereo pipelines
topic Point cloud compression
Computer vision
Satellites
Systematics
Computational modeling
Pipelines
Predictive models
Applications
Remote Sensing
url https://ieeexplore.ieee.org/document/10030230
https://openaccess.thecvf.com/content/WACV2023/html/Gomez_Improving_the_Pair_Selection_and_the_Model_Fusion_Steps_of_WACV_2023_paper.html
https://hdl.handle.net/20.500.12008/35934