Optimizing super resolution for face recognition (2019)
- Authors:
- USP affiliated authors: HIRATA JUNIOR, ROBERTO - IME ; ABELLO, ANTONIO AUGUSTO - IME
- Unidade: IME
- DOI: 10.1109/SIBGRAPI.2019.00034
- Subjects: RECONHECIMENTO DE IMAGEM; PROCESSAMENTO DE IMAGENS
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher: IEEE
- Publisher place: Piscataway
- Date published: 2019
- Source:
- Título: Proceedings
- ISSN: 2377-5416
- Conference titles: Conference on Graphics, Patterns and Images - SIBGRAPI
- Status:
- Nenhuma versão em acesso aberto identificada
-
ABNT
ABELLO, Antonio Augusto e HIRATA JÚNIOR, Roberto. Optimizing super resolution for face recognition. 2019, Anais.. Piscataway: IEEE, 2019. Disponível em: https://doi.org/10.1109/SIBGRAPI.2019.00034. Acesso em: 10 abr. 2026. -
APA
Abello, A. A., & Hirata Júnior, R. (2019). Optimizing super resolution for face recognition. In Proceedings. Piscataway: IEEE. doi:10.1109/SIBGRAPI.2019.00034 -
NLM
Abello AA, Hirata Júnior R. Optimizing super resolution for face recognition [Internet]. Proceedings. 2019 ;[citado 2026 abr. 10 ] Available from: https://doi.org/10.1109/SIBGRAPI.2019.00034 -
Vancouver
Abello AA, Hirata Júnior R. Optimizing super resolution for face recognition [Internet]. Proceedings. 2019 ;[citado 2026 abr. 10 ] Available from: https://doi.org/10.1109/SIBGRAPI.2019.00034 - Dissecting the high-frequency bias in convolutional neural networks
- Two studies on Convolutional Neural Networks sensibility to resolution
- Evaluation of transfer learning scenarios in plankton image classification
- Car detection in sequences of images of urban environments using mixture of deformable part models
- Combining features to a class-specific model in an instance detection framework
- Ridge linking using an adaptive oriented mask applied to plant root images with thin structures
- Parameter estimation for ridge detection in images with thin structures
- A modeling approach for credit card fraud detection in electronic payment services
- Positive definite kernel functions on fuzzy sets
- Trypanosoma cruzi Gene Expression in Response to Gamma Radiation
Informações sobre a disponibilidade de versões do artigo em acesso aberto coletadas automaticamente via oaDOI API (Unpaywall).
Download do texto completo
| Tipo | Nome | Link | |
|---|---|---|---|
 |
2980057.pdf |
How to cite
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
