A Computational Infrastructure Model for Research on Computer Vision

  • Antonio Nazaré Júnior UFMG
  • Marco Rodrigues UFMG
  • Victor Melo UFMG
  • Arthur Correia UFMG
  • Gabriel Gonçalves UFMG
  • Keiller Nogueira UFMG
  • Carlos Caetano UFMG
  • Edemir Ferreira Júnior UFMG
  • Jeferson dos Santos UFMG
  • William Schwartz UFMG

Resumo


With the advances on science, a powerful computational infrastructure is desirable to increase the performance of experiments. The same holds true for research on the Computer Vision field, which deals with large amounts of data and also requires intensive computation. Nevertheless, the administration of a computational infrastructure involves many tasks, such as system configuration, preventive maintenance and storage management, which becomes very challenging for many research groups. With that in mind, this work proposes an infrastructure model to assist researchers with focus on Computer Vision. We conducted a series of tests to evaluate the performance of our model and the processing power of our infrastructure.

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Publicado
26/08/2015
NAZARÉ JÚNIOR, Antonio et al. A Computational Infrastructure Model for Research on Computer Vision. In: BRAZILIAN E-SCIENCE WORKSHOP (BRESCI), 9. , 2015, Recife. Anais [...]. Porto Alegre: Sociedade Brasileira de Computação, 2015 . p. 21-30. ISSN 2763-8774. DOI: https://doi.org/10.5753/bresci.2015.7203.