ADAPTIVE WEIGHTING of IMAGE OBSERVATIONS for SELF-CALIBRATION with FISHEYE IMAGES

Detalhes bibliográficos
Autor(a) principal: Castanheiro, L. F. [UNESP]
Data de Publicação: 2021
Outros Autores: Tommaselli, A. M.G. [UNESP], Campos, M. B., Berveglieri, A. [UNESP]
Tipo de documento: Artigo de conferência
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.5194/isprs-annals-V-1-2021-81-2021
http://hdl.handle.net/11449/229531
Resumo: Fisheye cameras have been widely used in photogrammetric applications, but conventional techniques must be adapted to consider specific features of fisheye images, such as nonuniform resolution in the images. This work presents experimental results of an adaptive weighting of the observation in a self-calibrating bundle adjustment to cope with the nonuniform resolution of fisheye images. GoPro Fusion and Ricoh Theta dual-fisheye systems were calibrated with bundle adjustment based on equisolid-angle projection model combined with Conrady-Brown distortion model. The image observations were weighted as a function of radial distance based on combining loss of resolution and blurring in fisheye images. The results were compared with a similar trial by considering the same standard deviation for all image observations. The use of adaptive weighting of image observations reduced the estimated standard deviation of unit weight by 30 % and 50 % with GoPro Fusion and Ricoh Theta images, respectively. The estimation of relative orientation parameters (ROPs) was also improved (∼50 %) when using adaptive weighting for image observations.
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spelling ADAPTIVE WEIGHTING of IMAGE OBSERVATIONS for SELF-CALIBRATION with FISHEYE IMAGES360° fisheye camerasHyperhemispherical lensesObservations weightingStability constraintsFisheye cameras have been widely used in photogrammetric applications, but conventional techniques must be adapted to consider specific features of fisheye images, such as nonuniform resolution in the images. This work presents experimental results of an adaptive weighting of the observation in a self-calibrating bundle adjustment to cope with the nonuniform resolution of fisheye images. GoPro Fusion and Ricoh Theta dual-fisheye systems were calibrated with bundle adjustment based on equisolid-angle projection model combined with Conrady-Brown distortion model. The image observations were weighted as a function of radial distance based on combining loss of resolution and blurring in fisheye images. The results were compared with a similar trial by considering the same standard deviation for all image observations. The use of adaptive weighting of image observations reduced the estimated standard deviation of unit weight by 30 % and 50 % with GoPro Fusion and Ricoh Theta images, respectively. The estimation of relative orientation parameters (ROPs) was also improved (∼50 %) when using adaptive weighting for image observations.Department of Cartography São Paulo State University (UNESP) at Presidente PrudenteDepartment of Remote Sensing and Photogrammetry Finnish Geospatial Research Institute FGI, Geodeetinrinne 2Department of Cartography São Paulo State University (UNESP) at Presidente PrudenteUniversidade Estadual Paulista (UNESP)Finnish Geospatial Research Institute FGICastanheiro, L. F. [UNESP]Tommaselli, A. M.G. [UNESP]Campos, M. B.Berveglieri, A. [UNESP]2022-04-29T08:33:06Z2022-04-29T08:33:06Z2021-06-17info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject81-87http://dx.doi.org/10.5194/isprs-annals-V-1-2021-81-2021ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, v. 5, n. 1, p. 81-87, 2021.2194-90502194-9042http://hdl.handle.net/11449/22953110.5194/isprs-annals-V-1-2021-81-20212-s2.0-85115061520Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciencesinfo:eu-repo/semantics/openAccess2024-06-18T15:02:40Zoai:repositorio.unesp.br:11449/229531Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T21:22:19.632106Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv ADAPTIVE WEIGHTING of IMAGE OBSERVATIONS for SELF-CALIBRATION with FISHEYE IMAGES
title ADAPTIVE WEIGHTING of IMAGE OBSERVATIONS for SELF-CALIBRATION with FISHEYE IMAGES
spellingShingle ADAPTIVE WEIGHTING of IMAGE OBSERVATIONS for SELF-CALIBRATION with FISHEYE IMAGES
Castanheiro, L. F. [UNESP]
360° fisheye cameras
Hyperhemispherical lenses
Observations weighting
Stability constraints
title_short ADAPTIVE WEIGHTING of IMAGE OBSERVATIONS for SELF-CALIBRATION with FISHEYE IMAGES
title_full ADAPTIVE WEIGHTING of IMAGE OBSERVATIONS for SELF-CALIBRATION with FISHEYE IMAGES
title_fullStr ADAPTIVE WEIGHTING of IMAGE OBSERVATIONS for SELF-CALIBRATION with FISHEYE IMAGES
title_full_unstemmed ADAPTIVE WEIGHTING of IMAGE OBSERVATIONS for SELF-CALIBRATION with FISHEYE IMAGES
title_sort ADAPTIVE WEIGHTING of IMAGE OBSERVATIONS for SELF-CALIBRATION with FISHEYE IMAGES
author Castanheiro, L. F. [UNESP]
author_facet Castanheiro, L. F. [UNESP]
Tommaselli, A. M.G. [UNESP]
Campos, M. B.
Berveglieri, A. [UNESP]
author_role author
author2 Tommaselli, A. M.G. [UNESP]
Campos, M. B.
Berveglieri, A. [UNESP]
author2_role author
author
author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (UNESP)
Finnish Geospatial Research Institute FGI
dc.contributor.author.fl_str_mv Castanheiro, L. F. [UNESP]
Tommaselli, A. M.G. [UNESP]
Campos, M. B.
Berveglieri, A. [UNESP]
dc.subject.por.fl_str_mv 360° fisheye cameras
Hyperhemispherical lenses
Observations weighting
Stability constraints
topic 360° fisheye cameras
Hyperhemispherical lenses
Observations weighting
Stability constraints
description Fisheye cameras have been widely used in photogrammetric applications, but conventional techniques must be adapted to consider specific features of fisheye images, such as nonuniform resolution in the images. This work presents experimental results of an adaptive weighting of the observation in a self-calibrating bundle adjustment to cope with the nonuniform resolution of fisheye images. GoPro Fusion and Ricoh Theta dual-fisheye systems were calibrated with bundle adjustment based on equisolid-angle projection model combined with Conrady-Brown distortion model. The image observations were weighted as a function of radial distance based on combining loss of resolution and blurring in fisheye images. The results were compared with a similar trial by considering the same standard deviation for all image observations. The use of adaptive weighting of image observations reduced the estimated standard deviation of unit weight by 30 % and 50 % with GoPro Fusion and Ricoh Theta images, respectively. The estimation of relative orientation parameters (ROPs) was also improved (∼50 %) when using adaptive weighting for image observations.
publishDate 2021
dc.date.none.fl_str_mv 2021-06-17
2022-04-29T08:33:06Z
2022-04-29T08:33:06Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/conferenceObject
format conferenceObject
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://dx.doi.org/10.5194/isprs-annals-V-1-2021-81-2021
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, v. 5, n. 1, p. 81-87, 2021.
2194-9050
2194-9042
http://hdl.handle.net/11449/229531
10.5194/isprs-annals-V-1-2021-81-2021
2-s2.0-85115061520
url http://dx.doi.org/10.5194/isprs-annals-V-1-2021-81-2021
http://hdl.handle.net/11449/229531
identifier_str_mv ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, v. 5, n. 1, p. 81-87, 2021.
2194-9050
2194-9042
10.5194/isprs-annals-V-1-2021-81-2021
2-s2.0-85115061520
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 81-87
dc.source.none.fl_str_mv Scopus
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv
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