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Artigo de periodico
A comparison among keyframe extraction techniques for CNN classification based on video periocular images (2021)
Ferraz, Carolina Toledo ; Barcellos, William; Pereira Junior, Osmando ; Borges, Tamiris Trevisan Negri ; Manzato, Marcelo Garcia ; Gonzaga, Adilson ; Saito, Jose Hiroki
Source: Multimedia Tools and Applications. Unidades: ICMC, EESC
Subjects: REDES NEURAIS, APRENDIZADO COMPUTACIONAL, RECONHECIMENTO DE IMAGEM, OLHO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
FERRAZ, Carolina Toledo et al. A comparison among keyframe extraction techniques for CNN classification based on video periocular images. Multimedia Tools and Applications, v. 80, n. 8, p. 12843-12856, 2021Tradução . . Disponível em: https://doi.org/10.1007/s11042-020-10384-9. Acesso em: 13 nov. 2024.
APA
Ferraz, C. T., Barcellos, W., Pereira Junior, O., Borges, T. T. N., Manzato, M. G., Gonzaga, A., & Saito, J. H. (2021). A comparison among keyframe extraction techniques for CNN classification based on video periocular images. Multimedia Tools and Applications, 80( 8), 12843-12856. doi:10.1007/s11042-020-10384-9
NLM
Ferraz CT, Barcellos W, Pereira Junior O, Borges TTN, Manzato MG, Gonzaga A, Saito JH. A comparison among keyframe extraction techniques for CNN classification based on video periocular images [Internet]. Multimedia Tools and Applications. 2021 ; 80( 8): 12843-12856.[citado 2024 nov. 13 ] Available from: https://doi.org/10.1007/s11042-020-10384-9
Vancouver
Ferraz CT, Barcellos W, Pereira Junior O, Borges TTN, Manzato MG, Gonzaga A, Saito JH. A comparison among keyframe extraction techniques for CNN classification based on video periocular images [Internet]. Multimedia Tools and Applications. 2021 ; 80( 8): 12843-12856.[citado 2024 nov. 13 ] Available from: https://doi.org/10.1007/s11042-020-10384-9
Artigo de periodico
Human iris feature extraction under pupil size variation using local texture descriptors (2019)
Souza, Jones Mendonça de; Gonzaga, Adilson
Source: Multimedia Tools and Applications. Unidade: EESC
Subjects: ÍRIS, BIOMETRIA, PUPILA, ENGENHARIA ELÉTRICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SOUZA, Jones Mendonça de e GONZAGA, Adilson. Human iris feature extraction under pupil size variation using local texture descriptors. Multimedia Tools and Applications, 2019Tradução . . Disponível em: https://doi.org/10.1007/s11042-019-7371-4. Acesso em: 13 nov. 2024.
APA
Souza, J. M. de, & Gonzaga, A. (2019). Human iris feature extraction under pupil size variation using local texture descriptors. Multimedia Tools and Applications. doi:10.1007/s11042-019-7371-4
NLM
Souza JM de, Gonzaga A. Human iris feature extraction under pupil size variation using local texture descriptors [Internet]. Multimedia Tools and Applications. 2019 ;[citado 2024 nov. 13 ] Available from: https://doi.org/10.1007/s11042-019-7371-4
Vancouver
Souza JM de, Gonzaga A. Human iris feature extraction under pupil size variation using local texture descriptors [Internet]. Multimedia Tools and Applications. 2019 ;[citado 2024 nov. 13 ] Available from: https://doi.org/10.1007/s11042-019-7371-4
Artigo de periodico
Improving the classification of rotated images by adding the signal and magnitude information to a local texture descriptor (2018)
Vieira, Raissa Tavares; Negri, Tamiris Trevisan; Gonzaga, Adilson
Source: Multimedia Tools and Applications. Unidade: EESC
Subjects: RECONHECIMENTO DE IMAGEM, ENGENHARIA ELÉTRICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
VIEIRA, Raissa Tavares e NEGRI, Tamiris Trevisan e GONZAGA, Adilson. Improving the classification of rotated images by adding the signal and magnitude information to a local texture descriptor. Multimedia Tools and Applications, 2018Tradução . . Disponível em: https://doi.org/10.1007/s11042-018-6204-1. Acesso em: 13 nov. 2024.
APA
Vieira, R. T., Negri, T. T., & Gonzaga, A. (2018). Improving the classification of rotated images by adding the signal and magnitude information to a local texture descriptor. Multimedia Tools and Applications. doi:10.1007/s11042-018-6204-1
NLM
Vieira RT, Negri TT, Gonzaga A. Improving the classification of rotated images by adding the signal and magnitude information to a local texture descriptor [Internet]. Multimedia Tools and Applications. 2018 ;[citado 2024 nov. 13 ] Available from: https://doi.org/10.1007/s11042-018-6204-1
Vancouver
Vieira RT, Negri TT, Gonzaga A. Improving the classification of rotated images by adding the signal and magnitude information to a local texture descriptor [Internet]. Multimedia Tools and Applications. 2018 ;[citado 2024 nov. 13 ] Available from: https://doi.org/10.1007/s11042-018-6204-1

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