Surface reconstruction using multiple light sources and perspective projection

Detalhes bibliográficos
Autor(a) principal: Galo, Mauricio [UNESP]
Data de Publicação: 1996
Outros Autores: Tozzi, Clesio L. [UNESP]
Tipo de documento: Artigo de conferência
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1109/ICIP.1996.560818
http://hdl.handle.net/11449/64915
Resumo: This paper presents a method to recover 3D geometry of Lambertian surfaces by using multiple images taken from the same view point and with the scene illuminated from different positions. This approach differs from Stereo Photometry in that it considers the light source at a finite distance from the object and the perspective projection in image formation. The proposed model allows local solution and recovery of 3D coordinates, in addition to surface orientation. A procedure to calibrate the light sources is also presented. Results of the application of the algorithm to synthetic images are shown.
id UNSP_b224ce0bbbcc317ea69b06171fec717e
oai_identifier_str oai:repositorio.unesp.br:11449/64915
network_acronym_str UNSP
network_name_str Repositório Institucional da UNESP
repository_id_str 2946
spelling Surface reconstruction using multiple light sources and perspective projectionAlgorithmsCalibrationGeometryImage analysisLight sourcesMathematical modelsThree dimensionalVectorsVideo camerasLambertian surfacesStereo photometrySynthetic imagesImage reconstructionThis paper presents a method to recover 3D geometry of Lambertian surfaces by using multiple images taken from the same view point and with the scene illuminated from different positions. This approach differs from Stereo Photometry in that it considers the light source at a finite distance from the object and the perspective projection in image formation. The proposed model allows local solution and recovery of 3D coordinates, in addition to surface orientation. A procedure to calibrate the light sources is also presented. Results of the application of the algorithm to synthetic images are shown.Univ Estadual Paulista, Presidente PrudenteUniv Estadual Paulista, Presidente PrudenteUniversidade Estadual Paulista (Unesp)Galo, Mauricio [UNESP]Tozzi, Clesio L. [UNESP]2014-05-27T11:18:08Z2014-05-27T11:18:08Z1996-12-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject309-312http://dx.doi.org/10.1109/ICIP.1996.560818IEEE International Conference on Image Processing, v. 2, p. 309-312.http://hdl.handle.net/11449/6491510.1109/ICIP.1996.560818WOS:A1996BG63F000782-s2.0-003039761116473186442995610000-0002-0104-9960Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengIEEE International Conference on Image Processinginfo:eu-repo/semantics/openAccess2024-06-18T15:02:40Zoai:repositorio.unesp.br:11449/64915Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T20:21:47.842095Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Surface reconstruction using multiple light sources and perspective projection
title Surface reconstruction using multiple light sources and perspective projection
spellingShingle Surface reconstruction using multiple light sources and perspective projection
Galo, Mauricio [UNESP]
Algorithms
Calibration
Geometry
Image analysis
Light sources
Mathematical models
Three dimensional
Vectors
Video cameras
Lambertian surfaces
Stereo photometry
Synthetic images
Image reconstruction
title_short Surface reconstruction using multiple light sources and perspective projection
title_full Surface reconstruction using multiple light sources and perspective projection
title_fullStr Surface reconstruction using multiple light sources and perspective projection
title_full_unstemmed Surface reconstruction using multiple light sources and perspective projection
title_sort Surface reconstruction using multiple light sources and perspective projection
author Galo, Mauricio [UNESP]
author_facet Galo, Mauricio [UNESP]
Tozzi, Clesio L. [UNESP]
author_role author
author2 Tozzi, Clesio L. [UNESP]
author2_role author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (Unesp)
dc.contributor.author.fl_str_mv Galo, Mauricio [UNESP]
Tozzi, Clesio L. [UNESP]
dc.subject.por.fl_str_mv Algorithms
Calibration
Geometry
Image analysis
Light sources
Mathematical models
Three dimensional
Vectors
Video cameras
Lambertian surfaces
Stereo photometry
Synthetic images
Image reconstruction
topic Algorithms
Calibration
Geometry
Image analysis
Light sources
Mathematical models
Three dimensional
Vectors
Video cameras
Lambertian surfaces
Stereo photometry
Synthetic images
Image reconstruction
description This paper presents a method to recover 3D geometry of Lambertian surfaces by using multiple images taken from the same view point and with the scene illuminated from different positions. This approach differs from Stereo Photometry in that it considers the light source at a finite distance from the object and the perspective projection in image formation. The proposed model allows local solution and recovery of 3D coordinates, in addition to surface orientation. A procedure to calibrate the light sources is also presented. Results of the application of the algorithm to synthetic images are shown.
publishDate 1996
dc.date.none.fl_str_mv 1996-12-01
2014-05-27T11:18:08Z
2014-05-27T11:18:08Z
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/10.1109/ICIP.1996.560818
IEEE International Conference on Image Processing, v. 2, p. 309-312.
http://hdl.handle.net/11449/64915
10.1109/ICIP.1996.560818
WOS:A1996BG63F00078
2-s2.0-0030397611
1647318644299561
0000-0002-0104-9960
url http://dx.doi.org/10.1109/ICIP.1996.560818
http://hdl.handle.net/11449/64915
identifier_str_mv IEEE International Conference on Image Processing, v. 2, p. 309-312.
10.1109/ICIP.1996.560818
WOS:A1996BG63F00078
2-s2.0-0030397611
1647318644299561
0000-0002-0104-9960
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv IEEE International Conference on Image Processing
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 309-312
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
_version_ 1808129192494104576