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Metadados

1. Identificação
Tipo de ReferênciaArtigo em Evento (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Código do Detentoribi 8JMKD3MGPEW34M/46T9EHH
Identificador8JMKD3MGPEW34M/4392S6S
Repositóriosid.inpe.br/sibgrapi/2020/09.15.09.40
Última Atualização2020:09.15.09.40.40 (UTC) administrator
Repositório de Metadadossid.inpe.br/sibgrapi/2020/09.15.09.40.40
Última Atualização dos Metadados2022:06.14.00.00.03 (UTC) administrator
DOI10.1109/SIBGRAPI51738.2020.00047
Chave de CitaçãoSilvaMeirSilv:2020:UsPaLe
TítuloUsing Partial Least Squares in Butterfly Species Identification
FormatoOn-line
Ano2020
Data de Acesso17 maio 2024
Número de Arquivos1
Tamanho1771 KiB
2. Contextualização
Autor1 Silva, Alexandre
2 Meireles, Sincler
3 Silva, Samira
Afiliação1 Universidade do Estado de Minas Gerais
2 Universidade do Estado de Minas Gerais
3 Universidade do Estado de Minas Gerais
EditorMusse, Soraia Raupp
Cesar Junior, Roberto Marcondes
Pelechano, Nuria
Wang, Zhangyang (Atlas)
Endereço de e-Mailsamirapgti@gmail.com
Nome do EventoConference on Graphics, Patterns and Images, 33 (SIBGRAPI)
Localização do EventoPorto de Galinhas (virtual)
Data7-10 Nov. 2020
Editora (Publisher)IEEE Computer Society
Cidade da EditoraLos Alamitos
Título do LivroProceedings
Tipo TerciárioFull Paper
Histórico (UTC)2020-09-15 09:40:40 :: samirapgti@gmail.com -> administrator ::
2022-06-14 00:00:03 :: administrator -> samirapgti@gmail.com :: 2020
3. Conteúdo e estrutura
É a matriz ou uma cópia?é a matriz
Estágio do Conteúdoconcluido
Transferível1
Tipo de Versãofinaldraft
Palavras-ChaveButterfly Identification
Pattern Recognition
Partial Least Squares
ResumoButterflies are important insects in nature, and along with moths constitute the Lepidoptera order. At the global level, the number of existing butterfly species is approximately 16,000. Therefore, the identification of their species in images by humans consists in a laborious task. In this paper, we propose a novel approach to recognize butterfly species in images by combining handcrafted descriptors and the Partial Last Squares (PLS) algorithm. A set of PLS models are trained using an one-against-all protocol. The test phase consists in presenting images to all classifiers and the one which provides the highest response value contains in the positive set the predicted class. The performance of the proposed approach is evaluated on the Leeds Butterfly dataset. Experiments were conducted using HOG and LBP descriptors, separately and combined. The approach using HOG singly reported an accuracy rate of 68.72%, while using only LBP resulted in an accuracy rate of 77.33\%. Combining both descriptors this value changes to 76.27%. The proposed approach achieves the best results in all three versions when compared to state-of-the-art approaches. Experiments have shown that describing images with LBP provides the highest accuracy values since it extracts texture information, what is an important characteristic to distinguish butterflies. However, information of color and shape, added by HOG, appears to make different species confused.
Arranjo 1urlib.net > SDLA > Fonds > SIBGRAPI 2020 > Using Partial Least...
Arranjo 2urlib.net > SDLA > Fonds > Full Index > Using Partial Least...
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4. Condições de acesso e uso
URL dos dadoshttp://urlib.net/ibi/8JMKD3MGPEW34M/4392S6S
URL dos dados zipadoshttp://urlib.net/zip/8JMKD3MGPEW34M/4392S6S
Idiomaen
Arquivo Alvoexample.pdf
Grupo de Usuáriossamirapgti@gmail.com
Visibilidadeshown
Permissão de Atualizaçãonão transferida
5. Fontes relacionadas
Repositório Espelhosid.inpe.br/banon/2001/03.30.15.38.24
Unidades Imediatamente Superiores8JMKD3MGPEW34M/43G4L9S
8JMKD3MGPEW34M/4742MCS
Lista de Itens Citandosid.inpe.br/sibgrapi/2020/10.28.20.46 6
Acervo Hospedeirosid.inpe.br/banon/2001/03.30.15.38
6. Notas
Campos Vaziosarchivingpolicy archivist area callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination edition electronicmailaddress group isbn issn label lineage mark nextedition notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project readergroup readpermission resumeid rightsholder schedulinginformation secondarydate secondarykey secondarymark secondarytype serieseditor session shorttitle sponsor subject tertiarymark type url volume
7. Controle da descrição
e-Mail (login)samirapgti@gmail.com
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