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Metadados

1. Identificação
Tipo de ReferênciaArtigo em Evento (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Código do Detentoribi 8JMKD3MGPEW34M/46T9EHH
Identificador8JMKD3MGPBW34M/3A3P47L
Repositóriosid.inpe.br/sibgrapi/2011/07.11.14.09
Última Atualização2011:07.11.14.09.21 (UTC) administrator
Repositório de Metadadossid.inpe.br/sibgrapi/2011/07.11.14.09.21
Última Atualização dos Metadados2022:05.18.22.20.47 (UTC) administrator
DOI10.1109/SIBGRAPI.2011.39
Chave de CitaçãoMacêdoFarLimKelAlb:2011:CaSt3D
TítuloTowards a Standalone Methodology for Robust Algorithms Evaluation: A Case Study in 3D Reconstruction
FormatoDVD, On-line.
Ano2011
Data de Acesso21 maio 2022
Número de Arquivos1
Tamanho344 KiB
2. Contextualização
Autor1 Macêdo, Samuel Victor Medeiros de
2 Farias, Thiago Souto Maior Cordeiro de
3 Lima, Juliane Cristina Botelho de Oliveira
4 Kelner, Judith
5 Albuquerque, Eduardo
Afiliação1 UFPE
2 UFPE
3 UFPE
4 UFPE
5 UFG
EditorLewiner, Thomas
Torres, Ricardo
Endereço de e-Mailsamuel@gprt.ufpe.br
Nome do EventoConference on Graphics, Patterns and Images, 24 (SIBGRAPI)
Localização do EventoMaceió, AL, Brazil
Data28-31 Aug. 2011
Editora (Publisher)IEEE Computer Society
Cidade da EditoraLos Alamitos
Título do LivroProceedings
Tipo TerciárioFull Paper
Histórico (UTC)2011-07-23 15:36:13 :: samuel@gprt.ufpe.br -> administrator :: 2011
2022-05-18 22:20:47 :: administrator -> :: 2011
3. Conteúdo e estrutura
É a matriz ou uma cópia?é a matriz
Estágio do Conteúdoconcluido
Transferível1
Tipo de Versãofinaldraft
Palavras-Chaverobust algorithms
standalone methodology
statistical tests
hypothesis testing
ResumoIn the field of 3D reconstruction there are two main challenging tasks that require careful consideration, namely, feature detection and matching. The corresponding automatic process introduces noise resulting from the image capture and spurious features matching. A number of robust algorithms for hypothesis evaluation have been suggested; they would deal with these limitations by removing outliers. Most of these works are merely comparisons to previous algorithms and lack any standalone evaluation. This paper attempts to fill this gap by introducing a novel and robust statistical methodology. It has the advantage of evaluating related algorithms using non-dimensional metrics for fixed and continuous intervals. In addition, the proposed methodology is validated using a proof of concept scenario based on the 3D pose estimation phase in the 3D reconstruction pipeline. The obtained results are very promising and emphasize the methodology's generic nature, clearing the way for its application in a multitude of scenarios, such as computer vision and 3D reconstruction.
Conteúdo da Pasta docacessar
Conteúdo da Pasta sourcenão têm arquivos
Conteúdo da Pasta agreement
agreement.html 11/07/2011 11:09 0.5 KiB 
4. Condições de acesso e uso
URL dos dadoshttp://urlib.net/ibi/8JMKD3MGPBW34M/3A3P47L
URL dos dados zipadoshttp://urlib.net/zip/8JMKD3MGPBW34M/3A3P47L
Idiomaen
Arquivo Alvoexample.pdf
Grupo de Usuáriossamuel@gprt.ufpe.br
Visibilidadeshown
5. Fontes relacionadas
Repositório Espelhosid.inpe.br/banon/2001/03.30.15.38.24
Unidades Imediatamente Superiores8JMKD3MGPEW34M/46SKNPE
Acervo Hospedeirosid.inpe.br/banon/2001/03.30.15.38
6. Notas
Campos Vaziosaccessionnumber archivingpolicy archivist area callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination documentstage edition electronicmailaddress group isbn issn label lineage mark nextedition notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project readergroup readpermission resumeid rightsholder secondarydate secondarykey secondarymark secondarytype serieseditor session shorttitle sponsor subject tertiarymark type url volume


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