Close
Metadata

Reference TypeConference Proceedings
Identifier8JMKD3MGPBW34M/3DJCFUB
Repositorysid.inpe.br/sibgrapi/2013/02.18.16.09
Metadatasid.inpe.br/sibgrapi/2013/02.18.16.09.10
Sitesibgrapi.sid.inpe.br
ISBN978-85-7669-273-7
Citation KeyBellonCastTozz:1995:SeImPr
Author1 Bellon, Olga Regina Pereira
2 Castanho, José Eduardo Cogo
3 Tozzi, Clésio Luis
Affiliation1 Departamento de Informática da Universidade Federal do Paraná (UFPR)
2 Departamento de Engenharia Elétrica da Faculdade de Engenharia e Tecnologia da Universidade Estadual Paulista Júlio de Mesquita Filho (UNESP)
3 Departamento de Engenharia de Computação e Automação da Faculdade de Engenharia Elétrica da Universidade Estadual de Campinas (UNICAMP)
TitleSegmentação/reconstrução de imagens de profundidade associando detecção de bordas e agrupamento
Conference NameSimpósio Brasileiro de Computação Gráfica e Processamento de Imagens, 8 (SIBGRAPI)
Year1995
EditorLotufo, Roberto de Alencar
Mascarenhas, Nelson Delfino d'Ávila
Book TitleAnais
Date25 - 27 out. 1995
Publisher CityPorto Alegre
PublisherSociedade Brasileira de Computação
Conference LocationSão Carlos
Keywordsrange image, range image segmentation, reconstruction, clustering, edge detection, plane fitting.
AbstractIn the last years, range sensor technology has been greatly enhanced enabling range images to be more used in computer vision applications. The explicit presence of the range information eliminates the need for processing the image with the objective of extracting 3D information, which is usual with intensity image. Although, other questions remain such as segmentation and reconstruction. The main techniques used to solve the segmentation/reconstruction problem in range image are region growing, split and merge, and clustering. Region growing and split-and-merge algorithms present the problem that they have to deal with threshold values that are difficult to obtain. Clustering algorithms suffer less influence of this kind of problem, although other problems exist. A segmentation/reconstruction technique based on the clustering approach is presented to approximate regions of a range image by planes. The main goal is to reconstruct the image with a minimum error and with simplicity. The association with techniques of range edge detection is proposed to minimize problems of the clustering techniques. Some reconstruction results using simulated images are presented.
Pages219-226
Languagept
TypeVisão por Computador
Tertiary TypeArtigo
FormatImpresso, On-line.
Size5754 KiB
Number of Files1
Target File28 Segmentacao _ reconstrucao.pdf
Last Update2013:02.18.16.09.10 sid.inpe.br/banon/2001/03.30.15.38 cintiagraziele.silva@gmail.com
Metadata Last Update2013:02.18.16.09.10 sid.inpe.br/banon/2001/03.30.15.38 cintiagraziele.silva@gmail.com {D 1995}
Document Stagecompleted
Is the master or a copy?is the master
Mirrorsid.inpe.br/sibgrapi@80/2007/08.02.16.22
e-Mail Addresscintiagraziele.silva@gmail.com
e-Mail (login)cintiagraziele.silva@gmail.com
User Groupcintiagraziele.silva@gmail.com
Visibilityshown
Transferable1
Host Collectionsid.inpe.br/banon/2001/03.30.15.38
source Directory Contentthere are no files
agreement Directory Contentthere are no files
Empty Fieldsaccessionnumber archivingpolicy archivist area callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination documentstage doi edition electronicmailaddress group holdercode issn label lineage mark nextedition nexthigherunit notes numberofvolumes orcid organization parameterlist parentrepositories previousedition previouslowerunit progress project readergroup readpermission resumeid rightsholder secondarydate secondarykey secondarymark secondarytype serieseditor session shorttitle sponsor subject tertiarymark url versiontype volume
Access Date2020, Nov. 23
update 

Close