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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: 15 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. 15 ] 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. 15 ] Available from: https://doi.org/10.1007/s11042-020-10384-9
Artigo de periodico
Evaluating dynamic texture descriptors to recognize human iris in video image sequence (2020)
Langoni, Virgílio de Melo; Gonzaga, Adilson
Source: Pattern Analysis and Applications. Unidade: EESC
Subjects: ÍRIS, RECONHECIMENTO DE IMAGEM, VISÃO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
LANGONI, Virgílio de Melo e GONZAGA, Adilson. Evaluating dynamic texture descriptors to recognize human iris in video image sequence. Pattern Analysis and Applications, v. 23, p. 771-784, 2020Tradução . . Disponível em: http://dx.doi.org/10.1007/s10044-019-00836-w. Acesso em: 15 nov. 2024.
APA
Langoni, V. de M., & Gonzaga, A. (2020). Evaluating dynamic texture descriptors to recognize human iris in video image sequence. Pattern Analysis and Applications, 23, 771-784. doi:10.1007/s10044-019-00836-w
NLM
Langoni V de M, Gonzaga A. Evaluating dynamic texture descriptors to recognize human iris in video image sequence [Internet]. Pattern Analysis and Applications. 2020 ; 23 771-784.[citado 2024 nov. 15 ] Available from: http://dx.doi.org/10.1007/s10044-019-00836-w
Vancouver
Langoni V de M, Gonzaga A. Evaluating dynamic texture descriptors to recognize human iris in video image sequence [Internet]. Pattern Analysis and Applications. 2020 ; 23 771-784.[citado 2024 nov. 15 ] Available from: http://dx.doi.org/10.1007/s10044-019-00836-w
Artigo de periodico
A novel fusion-based texture descriptor to improve the detection of architectural distortion in digital mammography (2020)
Pereira Junior, Osmando; Oliveira, Helder Cesar Rodrigues de; Ferraz, Carolina Toledo ; Saito, José Hiroki; Vieira, Marcelo Andrade da Costa ; Gonzaga, Adilson
Source: Journal of Digital Imaging. Unidade: EESC
Subjects: ENGENHARIA ELÉTRICA, MAMOGRAFIA, IMAGEM DIGITAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
PEREIRA JUNIOR, Osmando et al. A novel fusion-based texture descriptor to improve the detection of architectural distortion in digital mammography. Journal of Digital Imaging, p. 1-17, 2020Tradução . . Disponível em: https://doi.org/10.1007/s10278-020-00391-5. Acesso em: 15 nov. 2024.
APA
Pereira Junior, O., Oliveira, H. C. R. de, Ferraz, C. T., Saito, J. H., Vieira, M. A. da C., & Gonzaga, A. (2020). A novel fusion-based texture descriptor to improve the detection of architectural distortion in digital mammography. Journal of Digital Imaging, 1-17. doi:10.1007/s10278-020-00391-5
NLM
Pereira Junior O, Oliveira HCR de, Ferraz CT, Saito JH, Vieira MA da C, Gonzaga A. A novel fusion-based texture descriptor to improve the detection of architectural distortion in digital mammography [Internet]. Journal of Digital Imaging. 2020 ; 1-17.[citado 2024 nov. 15 ] Available from: https://doi.org/10.1007/s10278-020-00391-5
Vancouver
Pereira Junior O, Oliveira HCR de, Ferraz CT, Saito JH, Vieira MA da C, Gonzaga A. A novel fusion-based texture descriptor to improve the detection of architectural distortion in digital mammography [Internet]. Journal of Digital Imaging. 2020 ; 1-17.[citado 2024 nov. 15 ] Available from: https://doi.org/10.1007/s10278-020-00391-5
Trabalho de evento
Impact of facial expressions on the accuracy of a CNN performing periocular recognition (2019)
Dalapicola, Rodolfo Coelho; Queiroga, Raissa Tavares Vieira; Ferraz, Carolina Toledo; Borges, Tamiris Trevisan Negri; Saito, Jose Hiroki; Gonzaga, Adilson
Source: Proceedings. Conference titles: Brazilian Conference on Intelligent Systems - BRACIS. Unidade: EESC
Subjects: BIOMETRIA, REDES NEURAIS, TRANSFERÊNCIA (APRENDIZAGEM), ENGENHARIA ELÉTRICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
DALAPICOLA, Rodolfo Coelho et al. Impact of facial expressions on the accuracy of a CNN performing periocular recognition. 2019, Anais.. Piscataway, NJ, USA: IEEE, 2019. Disponível em: https://doi.org/10.1109/BRACIS.2019.00077. Acesso em: 15 nov. 2024.
APA
Dalapicola, R. C., Queiroga, R. T. V., Ferraz, C. T., Borges, T. T. N., Saito, J. H., & Gonzaga, A. (2019). Impact of facial expressions on the accuracy of a CNN performing periocular recognition. In Proceedings. Piscataway, NJ, USA: IEEE. doi:10.1109/BRACIS.2019.00077
NLM
Dalapicola RC, Queiroga RTV, Ferraz CT, Borges TTN, Saito JH, Gonzaga A. Impact of facial expressions on the accuracy of a CNN performing periocular recognition [Internet]. Proceedings. 2019 ;[citado 2024 nov. 15 ] Available from: https://doi.org/10.1109/BRACIS.2019.00077
Vancouver
Dalapicola RC, Queiroga RTV, Ferraz CT, Borges TTN, Saito JH, Gonzaga A. Impact of facial expressions on the accuracy of a CNN performing periocular recognition [Internet]. Proceedings. 2019 ;[citado 2024 nov. 15 ] Available from: https://doi.org/10.1109/BRACIS.2019.00077
Trabalho de evento
Evaluation of fine tuning and feature extraction methods in biometric periocular recognition (2019)
Barcellos, William; Shitara, Nicolas Hiroaki; Ferraz, Carolina Toledo; Queiroga, Raissa Tavares Vieira; Saito, Jose Hiroki; Gonzaga, Adilson
Source: Proceedings. Conference titles: Workshop de Visão Computacional - WVC. Unidade: EESC
Subjects: PERCEPÇÃO DA FACE, VISÃO COMPUTACIONAL, ENGENHARIA ELÉTRICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BARCELLOS, William et al. Evaluation of fine tuning and feature extraction methods in biometric periocular recognition. 2019, Anais.. Porto Alegre, RS: SBC, 2019. . Acesso em: 15 nov. 2024.
APA
Barcellos, W., Shitara, N. H., Ferraz, C. T., Queiroga, R. T. V., Saito, J. H., & Gonzaga, A. (2019). Evaluation of fine tuning and feature extraction methods in biometric periocular recognition. In Proceedings. Porto Alegre, RS: SBC.
NLM
Barcellos W, Shitara NH, Ferraz CT, Queiroga RTV, Saito JH, Gonzaga A. Evaluation of fine tuning and feature extraction methods in biometric periocular recognition. Proceedings. 2019 ;[citado 2024 nov. 15 ]
Vancouver
Barcellos W, Shitara NH, Ferraz CT, Queiroga RTV, Saito JH, Gonzaga A. Evaluation of fine tuning and feature extraction methods in biometric periocular recognition. Proceedings. 2019 ;[citado 2024 nov. 15 ]
Artigo de periodico
A cross-cutting approach for tracking architectural distortion locii on digital breast tomosynthesis slices (2019)
Oliveira, Helder Cesar Rodrigues de; Mencattini, Arianna; Casti, Paola; Catani, Juliana H.; Barros, Nestor de; Gonzaga, Adilson; Martinelli, Eugenio; Vieira, Marcelo A. da Costa
Source: Biomedical signal processing and control. Unidades: FM, EESC
Subjects: MAMOGRAFIA, NEOPLASIAS MAMÁRIAS, INTENSIFICAÇÃO DE IMAGEM RADIOGRÁFICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
OLIVEIRA, Helder Cesar Rodrigues de et al. A cross-cutting approach for tracking architectural distortion locii on digital breast tomosynthesis slices. Biomedical signal processing and control, v. 50, p. 92-102, 2019Tradução . . Disponível em: https://doi.org/10.1016/j.bspc.2019.01.001. Acesso em: 15 nov. 2024.
APA
Oliveira, H. C. R. de, Mencattini, A., Casti, P., Catani, J. H., Barros, N. de, Gonzaga, A., et al. (2019). A cross-cutting approach for tracking architectural distortion locii on digital breast tomosynthesis slices. Biomedical signal processing and control, 50, 92-102. doi:10.1016/j.bspc.2019.01.001
NLM
Oliveira HCR de, Mencattini A, Casti P, Catani JH, Barros N de, Gonzaga A, Martinelli E, Vieira MA da C. A cross-cutting approach for tracking architectural distortion locii on digital breast tomosynthesis slices [Internet]. Biomedical signal processing and control. 2019 ; 50 92-102.[citado 2024 nov. 15 ] Available from: https://doi.org/10.1016/j.bspc.2019.01.001
Vancouver
Oliveira HCR de, Mencattini A, Casti P, Catani JH, Barros N de, Gonzaga A, Martinelli E, Vieira MA da C. A cross-cutting approach for tracking architectural distortion locii on digital breast tomosynthesis slices [Internet]. Biomedical signal processing and control. 2019 ; 50 92-102.[citado 2024 nov. 15 ] Available from: https://doi.org/10.1016/j.bspc.2019.01.001
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: 15 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. 15 ] 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. 15 ] Available from: https://doi.org/10.1007/s11042-019-7371-4
Trabalho de evento-anais periodico
Reduction of false-positives in a CAD scheme for automated detection of architectural distortion in digital mammography (2018)
Oliveira, Helder C. R. de; Mencattini, Arianna; Casti, Paola; Martinelli, Eugenio; Natale, Corrado di; Catani, Juliana H.; Barros, Nestor de; Melo, Carlos F. E.; Gonzaga, Adilson; Vieira, Marcelo Andrade da Costa
Source: Proceedings of SPIE. Conference titles: Medical Imaging 2018 : image perception, observer performance, and technology assessment. Unidade: EESC
Subjects: IMAGEM DIGITAL, MAMOGRAFIA, CAD, ENGENHARIA ELÉTRICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
OLIVEIRA, Helder C. R. de et al. Reduction of false-positives in a CAD scheme for automated detection of architectural distortion in digital mammography. Proceedings of SPIE. Bellingham, United States: SPIE. Disponível em: https://doi.org/10.1117/12.2293388. Acesso em: 15 nov. 2024. , 2018
APA
Oliveira, H. C. R. de, Mencattini, A., Casti, P., Martinelli, E., Natale, C. di, Catani, J. H., et al. (2018). Reduction of false-positives in a CAD scheme for automated detection of architectural distortion in digital mammography. Proceedings of SPIE. Bellingham, United States: SPIE. doi:10.1117/12.2293388
NLM
Oliveira HCR de, Mencattini A, Casti P, Martinelli E, Natale C di, Catani JH, Barros N de, Melo CFE, Gonzaga A, Vieira MA da C. Reduction of false-positives in a CAD scheme for automated detection of architectural distortion in digital mammography [Internet]. Proceedings of SPIE. 2018 ; 10575[citado 2024 nov. 15 ] Available from: https://doi.org/10.1117/12.2293388
Vancouver
Oliveira HCR de, Mencattini A, Casti P, Martinelli E, Natale C di, Catani JH, Barros N de, Melo CFE, Gonzaga A, Vieira MA da C. Reduction of false-positives in a CAD scheme for automated detection of architectural distortion in digital mammography [Internet]. Proceedings of SPIE. 2018 ; 10575[citado 2024 nov. 15 ] Available from: https://doi.org/10.1117/12.2293388
Trabalho de evento
Evaluation of convolutional neural networks for raw food texture classification under variations of lighting conditions (2018)
Ferraz, Carolina Toledo ; Borges, Tamiris Trevisan Negri ; Cavichiolli, Adriane; Gonzaga, Adilson ; Saito, Jose Hiroki
Source: Proceedings. Conference titles: Conference on Graphics, Patterns and Images- SIBGRAPI. Unidade: EESC
Subjects: REDES NEURAIS, ILUMINAÇÃO, ALIMENTOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
FERRAZ, Carolina Toledo et al. Evaluation of convolutional neural networks for raw food texture classification under variations of lighting conditions. 2018, Anais.. Porto Alegre: Escola de Engenharia de São Carlos, Universidade de São Paulo, 2018. Disponível em: https://repositorio.usp.br/directbitstream/b8ee5039-0201-4853-a7af-c70ad283e3c9/sysno3190748_trabalho%2008%20-%20Evaluation%20of%20convolutional%20neural%20networks%20for%20raw%20food%20texture%20classification%20under%20variations%20of%20lighting%20conditions.%20%28SIBGRAPI%2C%202018%29.pdf. Acesso em: 15 nov. 2024.
APA
Ferraz, C. T., Borges, T. T. N., Cavichiolli, A., Gonzaga, A., & Saito, J. H. (2018). Evaluation of convolutional neural networks for raw food texture classification under variations of lighting conditions. In Proceedings. Porto Alegre: Escola de Engenharia de São Carlos, Universidade de São Paulo. Recuperado de https://repositorio.usp.br/directbitstream/b8ee5039-0201-4853-a7af-c70ad283e3c9/sysno3190748_trabalho%2008%20-%20Evaluation%20of%20convolutional%20neural%20networks%20for%20raw%20food%20texture%20classification%20under%20variations%20of%20lighting%20conditions.%20%28SIBGRAPI%2C%202018%29.pdf
NLM
Ferraz CT, Borges TTN, Cavichiolli A, Gonzaga A, Saito JH. Evaluation of convolutional neural networks for raw food texture classification under variations of lighting conditions [Internet]. Proceedings. 2018 ;[citado 2024 nov. 15 ] Available from: https://repositorio.usp.br/directbitstream/b8ee5039-0201-4853-a7af-c70ad283e3c9/sysno3190748_trabalho%2008%20-%20Evaluation%20of%20convolutional%20neural%20networks%20for%20raw%20food%20texture%20classification%20under%20variations%20of%20lighting%20conditions.%20%28SIBGRAPI%2C%202018%29.pdf
Vancouver
Ferraz CT, Borges TTN, Cavichiolli A, Gonzaga A, Saito JH. Evaluation of convolutional neural networks for raw food texture classification under variations of lighting conditions [Internet]. Proceedings. 2018 ;[citado 2024 nov. 15 ] Available from: https://repositorio.usp.br/directbitstream/b8ee5039-0201-4853-a7af-c70ad283e3c9/sysno3190748_trabalho%2008%20-%20Evaluation%20of%20convolutional%20neural%20networks%20for%20raw%20food%20texture%20classification%20under%20variations%20of%20lighting%20conditions.%20%28SIBGRAPI%2C%202018%29.pdf
Trabalho de evento
Biometric iris classification when the eye’s pupil reacts to light (2018)
Souza, Jones Mendonça de; Gonzaga, Adilson
Source: Anais. Conference titles: Workshop de Visão Computacional - WVC. Unidade: EESC
Subjects: BIOMETRIA, ÍRIS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SOUZA, Jones Mendonça de e GONZAGA, Adilson. Biometric iris classification when the eye’s pupil reacts to light. 2018, Anais.. Natal: Escola de Engenharia de São Carlos, Universidade de São Paulo, 2018. Disponível em: https://repositorio.usp.br/directbitstream/bcafa583-8861-49a2-a263-539ad1967f42/sysno3190684_trabalho%2014%20-%20Biometric%20iris%20classification%20when%20the%20eye%E2%80%99s%20pupil%20reacts%20to%20light.%20%28Workshop%20de%20Vis%C3%A3o%20Computacional%2C%202017%29.pdf. Acesso em: 15 nov. 2024.
APA
Souza, J. M. de, & Gonzaga, A. (2018). Biometric iris classification when the eye’s pupil reacts to light. In Anais. Natal: Escola de Engenharia de São Carlos, Universidade de São Paulo. Recuperado de https://repositorio.usp.br/directbitstream/bcafa583-8861-49a2-a263-539ad1967f42/sysno3190684_trabalho%2014%20-%20Biometric%20iris%20classification%20when%20the%20eye%E2%80%99s%20pupil%20reacts%20to%20light.%20%28Workshop%20de%20Vis%C3%A3o%20Computacional%2C%202017%29.pdf
NLM
Souza JM de, Gonzaga A. Biometric iris classification when the eye’s pupil reacts to light [Internet]. Anais. 2018 ;[citado 2024 nov. 15 ] Available from: https://repositorio.usp.br/directbitstream/bcafa583-8861-49a2-a263-539ad1967f42/sysno3190684_trabalho%2014%20-%20Biometric%20iris%20classification%20when%20the%20eye%E2%80%99s%20pupil%20reacts%20to%20light.%20%28Workshop%20de%20Vis%C3%A3o%20Computacional%2C%202017%29.pdf
Vancouver
Souza JM de, Gonzaga A. Biometric iris classification when the eye’s pupil reacts to light [Internet]. Anais. 2018 ;[citado 2024 nov. 15 ] Available from: https://repositorio.usp.br/directbitstream/bcafa583-8861-49a2-a263-539ad1967f42/sysno3190684_trabalho%2014%20-%20Biometric%20iris%20classification%20when%20the%20eye%E2%80%99s%20pupil%20reacts%20to%20light.%20%28Workshop%20de%20Vis%C3%A3o%20Computacional%2C%202017%29.pdf
Trabalho de evento
Accuracy performance evaluation of a CNN for classifying images corrupted by noise (2018)
Faccini, Fábio Augusto Gonçalves; Gonzaga, Adilson
Source: Anais. Conference titles: Workshop de Visão Computacional - WVC. Unidade: EESC
Subjects: PROCESSAMENTO DE IMAGENS, APRENDIZAGEM PROFUNDA, REDES NEURAIS, RECONHECIMENTO DE IMAGEM
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
FACCINI, Fábio Augusto Gonçalves e GONZAGA, Adilson. Accuracy performance evaluation of a CNN for classifying images corrupted by noise. 2018, Anais.. [S.l.]: Escola de Engenharia de São Carlos, Universidade de São Paulo, 2018. Disponível em: https://repositorio.usp.br/directbitstream/7ea2a591-6cc2-40e3-960d-4dbcc8c16778/sysno3190572_trabalho%2007%20-%20Accuracy%20performance%20evaluation%20of%20a%20CNN%20for%20classifying%20images%20corrupted%20by%20noise.%20%28Workshop%20de%20Vis%C3%A3o%20Computacional%2C%202018%29.pdf. Acesso em: 15 nov. 2024.
APA
Faccini, F. A. G., & Gonzaga, A. (2018). Accuracy performance evaluation of a CNN for classifying images corrupted by noise. In Anais. Escola de Engenharia de São Carlos, Universidade de São Paulo. Recuperado de https://repositorio.usp.br/directbitstream/7ea2a591-6cc2-40e3-960d-4dbcc8c16778/sysno3190572_trabalho%2007%20-%20Accuracy%20performance%20evaluation%20of%20a%20CNN%20for%20classifying%20images%20corrupted%20by%20noise.%20%28Workshop%20de%20Vis%C3%A3o%20Computacional%2C%202018%29.pdf
NLM
Faccini FAG, Gonzaga A. Accuracy performance evaluation of a CNN for classifying images corrupted by noise [Internet]. Anais. 2018 ;[citado 2024 nov. 15 ] Available from: https://repositorio.usp.br/directbitstream/7ea2a591-6cc2-40e3-960d-4dbcc8c16778/sysno3190572_trabalho%2007%20-%20Accuracy%20performance%20evaluation%20of%20a%20CNN%20for%20classifying%20images%20corrupted%20by%20noise.%20%28Workshop%20de%20Vis%C3%A3o%20Computacional%2C%202018%29.pdf
Vancouver
Faccini FAG, Gonzaga A. Accuracy performance evaluation of a CNN for classifying images corrupted by noise [Internet]. Anais. 2018 ;[citado 2024 nov. 15 ] Available from: https://repositorio.usp.br/directbitstream/7ea2a591-6cc2-40e3-960d-4dbcc8c16778/sysno3190572_trabalho%2007%20-%20Accuracy%20performance%20evaluation%20of%20a%20CNN%20for%20classifying%20images%20corrupted%20by%20noise.%20%28Workshop%20de%20Vis%C3%A3o%20Computacional%2C%202018%29.pdf
Artigo de periodico
Extended color local mapped pattern for color texture classification under varying illumination (2018)
Negri, Tamiris Trevisan; Zhou, Fang; Obradovic, Zoran; Gonzaga, Adilson
Source: Journal of Electronic Imaging. Unidade: EESC
Subjects: ILUMINAÇÃO, IMAGEM, ENGENHARIA ELÉTRICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
NEGRI, Tamiris Trevisan et al. Extended color local mapped pattern for color texture classification under varying illumination. Journal of Electronic Imaging, v. 27, n. Ja/Feb. 2018, p. 011008(1-12), 2018Tradução . . Disponível em: https://doi.org/10.1117/1.JEI.27.1.011008. Acesso em: 15 nov. 2024.
APA
Negri, T. T., Zhou, F., Obradovic, Z., & Gonzaga, A. (2018). Extended color local mapped pattern for color texture classification under varying illumination. Journal of Electronic Imaging, 27( Ja/Feb. 2018), 011008(1-12). doi:10.1117/1.JEI.27.1.011008
NLM
Negri TT, Zhou F, Obradovic Z, Gonzaga A. Extended color local mapped pattern for color texture classification under varying illumination [Internet]. Journal of Electronic Imaging. 2018 ; 27( Ja/Feb. 2018): 011008(1-12).[citado 2024 nov. 15 ] Available from: https://doi.org/10.1117/1.JEI.27.1.011008
Vancouver
Negri TT, Zhou F, Obradovic Z, Gonzaga A. Extended color local mapped pattern for color texture classification under varying illumination [Internet]. Journal of Electronic Imaging. 2018 ; 27( Ja/Feb. 2018): 011008(1-12).[citado 2024 nov. 15 ] Available from: https://doi.org/10.1117/1.JEI.27.1.011008
Trabalho de evento
Detection of curvatures in the retina. Would it be possible? (2018)
Louro, Antonio H. F.; Gonzaga, Adilson
Source: Anais. Conference titles: Workshop de Visão Computacional - WVC. Unidade: EESC
Subjects: RETINA, VISÃO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
LOURO, Antonio H. F. e GONZAGA, Adilson. Detection of curvatures in the retina. Would it be possible? 2018, Anais.. [S.l.]: Escola de Engenharia de São Carlos, Universidade de São Paulo, 2018. Disponível em: https://repositorio.usp.br/directbitstream/0436d70e-ea7a-4e4c-8a72-4fc9a10cb815/sysno3190605_trabalho%2006%20-%20Detection%20of%20Curvatures%20in%20the%20Retina.%20Would%20it%20be%20Possible.%20%28Workshop%20de%20Vis%C3%A3o%20Computacional%2C%202018%29.pdf. Acesso em: 15 nov. 2024.
APA
Louro, A. H. F., & Gonzaga, A. (2018). Detection of curvatures in the retina. Would it be possible? In Anais. Escola de Engenharia de São Carlos, Universidade de São Paulo. Recuperado de https://repositorio.usp.br/directbitstream/0436d70e-ea7a-4e4c-8a72-4fc9a10cb815/sysno3190605_trabalho%2006%20-%20Detection%20of%20Curvatures%20in%20the%20Retina.%20Would%20it%20be%20Possible.%20%28Workshop%20de%20Vis%C3%A3o%20Computacional%2C%202018%29.pdf
NLM
Louro AHF, Gonzaga A. Detection of curvatures in the retina. Would it be possible? [Internet]. Anais. 2018 ;[citado 2024 nov. 15 ] Available from: https://repositorio.usp.br/directbitstream/0436d70e-ea7a-4e4c-8a72-4fc9a10cb815/sysno3190605_trabalho%2006%20-%20Detection%20of%20Curvatures%20in%20the%20Retina.%20Would%20it%20be%20Possible.%20%28Workshop%20de%20Vis%C3%A3o%20Computacional%2C%202018%29.pdf
Vancouver
Louro AHF, Gonzaga A. Detection of curvatures in the retina. Would it be possible? [Internet]. Anais. 2018 ;[citado 2024 nov. 15 ] Available from: https://repositorio.usp.br/directbitstream/0436d70e-ea7a-4e4c-8a72-4fc9a10cb815/sysno3190605_trabalho%2006%20-%20Detection%20of%20Curvatures%20in%20the%20Retina.%20Would%20it%20be%20Possible.%20%28Workshop%20de%20Vis%C3%A3o%20Computacional%2C%202018%29.pdf
Trabalho de evento
Color texture classification by using opponent color and local mapped pattern (2018)
Negri, Tamiris Trevisan; Vieira, Raissa Tavares; Gonzaga, Adilson
Source: Anais. Conference titles: Workshop de Visão Computacional - WVC. Unidade: EESC
Subjects: VISÃO COMPUTACIONAL, IMAGEM, ILUMINAÇÃO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
NEGRI, Tamiris Trevisan e VIEIRA, Raissa Tavares e GONZAGA, Adilson. Color texture classification by using opponent color and local mapped pattern. 2018, Anais.. Natal: Escola de Engenharia de São Carlos, Universidade de São Paulo, 2018. Disponível em: https://repositorio.usp.br/directbitstream/eb0f6b63-35ec-4d9b-a57e-1bbe4d4827eb/sysno3190678_trabalho%2015%20-%20Color%20Texture%20Classification%20by%20using%20Opponent%20Color%20and%20Local%20Mapped%20Pattern.%20%28Workshop%20de%20Vis%C3%A3o%20Computacional%2C%202017%29%20%281%29.pdf. Acesso em: 15 nov. 2024.
APA
Negri, T. T., Vieira, R. T., & Gonzaga, A. (2018). Color texture classification by using opponent color and local mapped pattern. In Anais. Natal: Escola de Engenharia de São Carlos, Universidade de São Paulo. Recuperado de https://repositorio.usp.br/directbitstream/eb0f6b63-35ec-4d9b-a57e-1bbe4d4827eb/sysno3190678_trabalho%2015%20-%20Color%20Texture%20Classification%20by%20using%20Opponent%20Color%20and%20Local%20Mapped%20Pattern.%20%28Workshop%20de%20Vis%C3%A3o%20Computacional%2C%202017%29%20%281%29.pdf
NLM
Negri TT, Vieira RT, Gonzaga A. Color texture classification by using opponent color and local mapped pattern [Internet]. Anais. 2018 ;[citado 2024 nov. 15 ] Available from: https://repositorio.usp.br/directbitstream/eb0f6b63-35ec-4d9b-a57e-1bbe4d4827eb/sysno3190678_trabalho%2015%20-%20Color%20Texture%20Classification%20by%20using%20Opponent%20Color%20and%20Local%20Mapped%20Pattern.%20%28Workshop%20de%20Vis%C3%A3o%20Computacional%2C%202017%29%20%281%29.pdf
Vancouver
Negri TT, Vieira RT, Gonzaga A. Color texture classification by using opponent color and local mapped pattern [Internet]. Anais. 2018 ;[citado 2024 nov. 15 ] Available from: https://repositorio.usp.br/directbitstream/eb0f6b63-35ec-4d9b-a57e-1bbe4d4827eb/sysno3190678_trabalho%2015%20-%20Color%20Texture%20Classification%20by%20using%20Opponent%20Color%20and%20Local%20Mapped%20Pattern.%20%28Workshop%20de%20Vis%C3%A3o%20Computacional%2C%202017%29%20%281%29.pdf
Trabalho de evento
A robust descriptor for color texture classification under varying illumination (2018)
Negri, Tamiris Trevisan; Zhou, Fang; Obradovic, Zoran; Gonzaga, Adilson
Source: Proceedings, v. 4. Conference titles: International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - VISIGRAPP 2017. Unidade: EESC
Subjects: VISÃO COMPUTACIONAL, ILUMINAÇÃO, IMAGEM
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
NEGRI, Tamiris Trevisan et al. A robust descriptor for color texture classification under varying illumination. 2018, Anais.. Setúbal: Escola de Engenharia de São Carlos, Universidade de São Paulo, 2018. Disponível em: http://dx.doi.org/10.5220/0006143403780388. Acesso em: 15 nov. 2024.
APA
Negri, T. T., Zhou, F., Obradovic, Z., & Gonzaga, A. (2018). A robust descriptor for color texture classification under varying illumination. In Proceedings, v. 4. Setúbal: Escola de Engenharia de São Carlos, Universidade de São Paulo. doi:10.5220/0006143403780388
NLM
Negri TT, Zhou F, Obradovic Z, Gonzaga A. A robust descriptor for color texture classification under varying illumination [Internet]. Proceedings, v. 4. 2018 ;[citado 2024 nov. 15 ] Available from: http://dx.doi.org/10.5220/0006143403780388
Vancouver
Negri TT, Zhou F, Obradovic Z, Gonzaga A. A robust descriptor for color texture classification under varying illumination [Internet]. Proceedings, v. 4. 2018 ;[citado 2024 nov. 15 ] Available from: http://dx.doi.org/10.5220/0006143403780388
Trabalho de evento
Multi-class segmentation of satellite images by color mixture and neural network (2018)
Moraes, Diego Rafael; Gonzaga, Adilson
Source: Anais. Conference titles: Workshop de Visão Computacional - WVC. Unidade: EESC
Subjects: PROCESSAMENTO DE IMAGENS, REDES NEURAIS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MORAES, Diego Rafael e GONZAGA, Adilson. Multi-class segmentation of satellite images by color mixture and neural network. 2018, Anais.. Natal: Escola de Engenharia de São Carlos, Universidade de São Paulo, 2018. Disponível em: https://repositorio.usp.br/directbitstream/fc0a6432-b78d-44db-9a26-46d594f402c7/sysno3190685_trabalho%2013%20-%20Multi-class%20Segmentation%20of%20Satellite%20Images%20by%20Color%20Mixture%20and%20Neural%20Network.%20%28Workshop%20de%20Vis%C3%A3o%20Computacional%2C%202017%29%20%281%29.pdf. Acesso em: 15 nov. 2024.
APA
Moraes, D. R., & Gonzaga, A. (2018). Multi-class segmentation of satellite images by color mixture and neural network. In Anais. Natal: Escola de Engenharia de São Carlos, Universidade de São Paulo. Recuperado de https://repositorio.usp.br/directbitstream/fc0a6432-b78d-44db-9a26-46d594f402c7/sysno3190685_trabalho%2013%20-%20Multi-class%20Segmentation%20of%20Satellite%20Images%20by%20Color%20Mixture%20and%20Neural%20Network.%20%28Workshop%20de%20Vis%C3%A3o%20Computacional%2C%202017%29%20%281%29.pdf
NLM
Moraes DR, Gonzaga A. Multi-class segmentation of satellite images by color mixture and neural network [Internet]. Anais. 2018 ;[citado 2024 nov. 15 ] Available from: https://repositorio.usp.br/directbitstream/fc0a6432-b78d-44db-9a26-46d594f402c7/sysno3190685_trabalho%2013%20-%20Multi-class%20Segmentation%20of%20Satellite%20Images%20by%20Color%20Mixture%20and%20Neural%20Network.%20%28Workshop%20de%20Vis%C3%A3o%20Computacional%2C%202017%29%20%281%29.pdf
Vancouver
Moraes DR, Gonzaga A. Multi-class segmentation of satellite images by color mixture and neural network [Internet]. Anais. 2018 ;[citado 2024 nov. 15 ] Available from: https://repositorio.usp.br/directbitstream/fc0a6432-b78d-44db-9a26-46d594f402c7/sysno3190685_trabalho%2013%20-%20Multi-class%20Segmentation%20of%20Satellite%20Images%20by%20Color%20Mixture%20and%20Neural%20Network.%20%28Workshop%20de%20Vis%C3%A3o%20Computacional%2C%202017%29%20%281%29.pdf
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: 15 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. 15 ] 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. 15 ] Available from: https://doi.org/10.1007/s11042-018-6204-1
Trabalho de evento
Human epithelial type 2 cell classification using a multiresolution texture descriptor (2018)
Vieira, Raissa Tavares; Negri, Tamiris Trevisan; Cavichiolli, Adriane; Gonzaga, Adilson
Source: Proceedings. Conference titles: Workshop of Computer Vision -WVC. Unidade: EESC
Subjects: PROCESSAMENTO DE IMAGENS, CÉLULAS EPITELIAIS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
VIEIRA, Raissa Tavares et al. Human epithelial type 2 cell classification using a multiresolution texture descriptor. 2018, Anais.. Danvers, MA: Escola de Engenharia de São Carlos, Universidade de São Paulo, 2018. Disponível em: http://dx.doi.org/10.1109/WVC.2017.00008. Acesso em: 15 nov. 2024.
APA
Vieira, R. T., Negri, T. T., Cavichiolli, A., & Gonzaga, A. (2018). Human epithelial type 2 cell classification using a multiresolution texture descriptor. In Proceedings. Danvers, MA: Escola de Engenharia de São Carlos, Universidade de São Paulo. doi:10.1109/WVC.2017.00008
NLM
Vieira RT, Negri TT, Cavichiolli A, Gonzaga A. Human epithelial type 2 cell classification using a multiresolution texture descriptor [Internet]. Proceedings. 2018 ;[citado 2024 nov. 15 ] Available from: http://dx.doi.org/10.1109/WVC.2017.00008
Vancouver
Vieira RT, Negri TT, Cavichiolli A, Gonzaga A. Human epithelial type 2 cell classification using a multiresolution texture descriptor [Internet]. Proceedings. 2018 ;[citado 2024 nov. 15 ] Available from: http://dx.doi.org/10.1109/WVC.2017.00008
Trabalho de evento
Face classification using a new local texture descriptor (2017)
Ferraz, Carolina Toledo; Manzato, Marcelo Garcia ; Gonzaga, Adilson
Source: Proceedings. Conference titles: Brazilian Symposium on Multimedia and the Web - WebMedia. Unidades: ICMC, EESC
Subjects: RECONHECIMENTO DE IMAGEM, TEXTURA, RECUPERAÇÃO DA INFORMAÇÃO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
FERRAZ, Carolina Toledo e MANZATO, Marcelo Garcia e GONZAGA, Adilson. Face classification using a new local texture descriptor. 2017, Anais.. New York: ACM, 2017. Disponível em: https://doi.org/10.1145/3126858.3131584. Acesso em: 15 nov. 2024.
APA
Ferraz, C. T., Manzato, M. G., & Gonzaga, A. (2017). Face classification using a new local texture descriptor. In Proceedings. New York: ACM. doi:10.1145/3126858.3131584
NLM
Ferraz CT, Manzato MG, Gonzaga A. Face classification using a new local texture descriptor [Internet]. Proceedings. 2017 ;[citado 2024 nov. 15 ] Available from: https://doi.org/10.1145/3126858.3131584
Vancouver
Ferraz CT, Manzato MG, Gonzaga A. Face classification using a new local texture descriptor [Internet]. Proceedings. 2017 ;[citado 2024 nov. 15 ] Available from: https://doi.org/10.1145/3126858.3131584
Trabalho de evento-anais periodico
A new texture descriptor based on local micro-pattern for detection of architectural distortion in mammographic images (2017)
Oliveira, Helder C. R. de; Moraes, Diego Rafael; Reche, Gustavo A.; Borges, Lucas R.; Catani, Juliana H.; Barros, Nestor de; Melo, Carlos F. E.; Gonzaga, Adilson; Vieira, Marcelo Andrade da Costa
Source: Proceedings of SPIE. Conference titles: Medical Imaging 2017 : image perception, observer performance, and technology assessment. Unidade: EESC
Subjects: MAMOGRAFIA, ENGENHARIA ELÉTRICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
OLIVEIRA, Helder C. R. de et al. A new texture descriptor based on local micro-pattern for detection of architectural distortion in mammographic images. Proceedings of SPIE. Bellingham, United States: SPIE. Disponível em: https://doi.org/10.1117/12.2255516. Acesso em: 15 nov. 2024. , 2017
APA
Oliveira, H. C. R. de, Moraes, D. R., Reche, G. A., Borges, L. R., Catani, J. H., Barros, N. de, et al. (2017). A new texture descriptor based on local micro-pattern for detection of architectural distortion in mammographic images. Proceedings of SPIE. Bellingham, United States: SPIE. doi:10.1117/12.2255516
NLM
Oliveira HCR de, Moraes DR, Reche GA, Borges LR, Catani JH, Barros N de, Melo CFE, Gonzaga A, Vieira MA da C. A new texture descriptor based on local micro-pattern for detection of architectural distortion in mammographic images [Internet]. Proceedings of SPIE. 2017 ; 10134[citado 2024 nov. 15 ] Available from: https://doi.org/10.1117/12.2255516
Vancouver
Oliveira HCR de, Moraes DR, Reche GA, Borges LR, Catani JH, Barros N de, Melo CFE, Gonzaga A, Vieira MA da C. A new texture descriptor based on local micro-pattern for detection of architectural distortion in mammographic images [Internet]. Proceedings of SPIE. 2017 ; 10134[citado 2024 nov. 15 ] Available from: https://doi.org/10.1117/12.2255516

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