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Professor José R. A. Torreão
Education:
- B.Sc.
Physics, 1980, Federal University of Pernambuco
(UFPE), Brazil
- M.Sc.
Physics, 1983, Federal University of Pernambuco
(UFPE), Brazil
Dissertation Subject: Nuclear Physics
- Ph.D.
Physics, 1989, Brown University,
USA
Thesis Subject: Artificial Vision
Research Interests:
- Artificial and Natural Vision
Recent Projects:
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3D shape estimation
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Computational modelling of cortical neurons
·
Motion synthesis
Some recent publications:
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"Towards a Biologically Plausible Stereo Approach"
José R.A. Torreão and Silvia M.C. Victer
In: ‘Advances in Stereo Vision’, José R.A. Torreão (Editor) In-Tech, Croatia, pp.57-70, 2011
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"Linear-nonlinear neuronal model for shape from shading"
José R.A. Torreão and João L. Fernandes
Pattern Recognition Letters 32, pp. 1223-1239, 2011
·
"Shape from shading through photometric motion"
João L. Fernandes
and José R.A. Torreão
Pattern Analysis and Applications 13, pp. 35-58, 2010
·
"A comparative analysis of Green’s function of 1D
matching equations for motion synthesis"
Perfilino E. Ferreira Júnior,
José R.A. Torreão and Paulo.C.P. Carvalho
Pattern Recognition Letters 30, pp. 1321-1334, 2009
·
"Motion synthesis through 1D affine matching"
Perfilino E. Ferreira Júnior,
José R.A. Torreão, Paulo.C.P. Carvalho and Marcelo
B. Vieira
Pattern Analysis and Applications 11, pp. 45-58, 2008
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"A novel approach to photometric motion"
José R.A. Torreão, João L. Ferandes and
Helena C.G. Leitão
Image and Vision Computing 27, pp. 126-135, 2007
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"Disparity estimation through Green’s functions of matching
equations"
José R.A. Torreão
Biological Cybernetics 97, pp. 307-316, 2007
·
"Green’s functions of matching equations: a unifying
approach for low-level vision problems"
José R.A. Torreão , João L. Fernandes,
Marcos S. Amaral and Leonardo Beltrão
In: ‘Vision Systems’, Goro Obinata and Ashishi Dutta (Eds.) ARS Publishing, Viena,
pp. 357-372, 2007
Links:
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Linear-nonlinear neuronal model for shape
from shading
Code
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Introdução aos Métodos Numéricos
Notas 1 1
Notas 1 2-35
Notas 2 1-7
Notas 2 8-33
Notas 2 29-33
Notas 3 1-23
Notas 3 24-34
Notas 3 35-46
Notas 4
Notas 5 1-12
Notas 5 13-22
Notas 6
Notas 7
Resultados Primeiro Exame
Resultados Implementação
Resultados Finais
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Tratamento de Incertezas
Notas 1
Notas 2
Notas 3
Notas 3B
Notas 3C
Notas 4
Notas 5
Notas 6
Notas 7
Notas 8
Notas 9
Notas 9B
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Visão Computacional
Notas 1
Notas 2
Notas 3
Notas 3B
Notas 3B_2
Notas 3C
Notas 3D
Notas 3E
Notas 3F
Notas 4
Notas 4B
Notas 4C
Notas 5
Notas 6
Notas 6B
Notas 6C
Notas 6D
Notas 7
Notas 8
Pós-Graduação
em Computação (IC)
Universidade Federal Fluminense (UFF)
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