Visão Computacional:
Um Novo Campo De Pesquisa Em Cognição Visual
Resumen
RESUMO - O presente artigo objetiva apresentar um novo campo de pesquisa para especialistas em percepção visual. A partir da ciência da cognição e, em uma de suas áreas a inteligência artificial, diferencia-se um novo campo de pesquisa, denominado visão computacional. A chamada morfologia matemática é destacada para evidenciar, através dos conceitos do formalismo de Fourier, uma similaridade entre a visão humana e a computacional. Os problemas são discutidos para uma pesquisa no processamento da imagem, e apresenta-se uma forma de minimizar os elevados custos para a realização das pesquisas nesta área. O desenvolvimento de novos modelos para a cognição visual é o objetivo principal para este novo campo de pesquisa.
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ADAMS, J. R., DISCROLL, E. C, JR, & READER, С. (1984). Image processing
systems. Em M. P. Ekstrom (Ed.), Digital Images processing techniques. New
York: Academic Press. 289 - 360.
AHUJA, N.. & SCHACHTER, B. L. (1981). Image models. Computing Surveys, 13
(4), 373-397.
ANDREWS, H. C, & PATTERSON, С L. (1976). Outer product expansions and
uses in digital image processing. IEEE Transactions on Computer, Ñ - 25 (2),
140-143.
ARBIB, M. A. (1982). Cérebro, máquinas у matemáticas. In E. S. Manes (Trad.),
Brain, machines and mathematics. Madrid: Alianza Editorial: (Trabalho original
publicado em 1964).
AUBANEL, E. E., & OLDHAM, К. В. (1985). Fourier smoothing: without the fast
Fourier transform. Byte, 10(2), 207-240.
BADLER, N., & BAJCSY, R. (1978). Three-dimensional representations for
computer vision. Computer Graphics, 12 (3), 153 -160.
BALLARD, D. H., & BROWN, С. М. (1982). Computer vision. New York: Prentice -
Hall.
BESL, P. J., & JAIN, R. С (1985), Three-dimensional object recognition. Computing
Surveys, 17(1), 75-145.
BLACKMORE, W. R. (1982). Human software. Behavior Research Methods &
Instrumentation, 13 (4), 533-570.
BRAUNSTEIN, M. L. (1981). Contrast between human and machine vision: should
technology recapitulate phylogony? In J. Beck & A. Rosenfeld (Eds.), Human
and Machine Vision. Denver: Academic Press. 1-21.
BROWN, С. М. (1984). Computer vision and natural constraints. Science, 224
(4648), 1299-1305.
CAELLI, T. (1982). On discrimination visual texture and image. Perception &
. Psychophysics, 31 (2), 149-159.
CHARNIAK, E., & McDERMOTT, D. (1985). Introduction to artificial intelligence.
Massachusets: Addison - Wesley.
COHEN, P. R., & FEIGENBAUM, E. A. (1984). The handbook of artificial intelligence
(vol. 3). Callifornia: Willian Kaufman.
COIFFET, P. (1983). Robot technology: Interaction with the enviroment (vol. 2). New
York: Prentice - Hall.
EKSTRON, M. P. (1984). Digital image processing techniques. New York: Academic
Press.
FELDMAN, J. A. (1985). Connections. Byte, 10 (4), 277 - 284.
FISCHELER, M. A., & FIRSCHEIN, O. (1986). Intelligence and the computer. Al
Expert, 1 (4), 43 - 49.
FU, K. S., GONZALES, R. C, & LEE, С S. G. (1987). Robotics: control, sensing,
vision, and intelligence. New York: McGraw - Hill.
GEIGER, D. (1985). Visão computacional. Conferência no Laboratório Nacional de
Computação Científica. Rio de Janeiro.
HAVENS, D., & BAKER, M. P. (1986). Computer graphics. London: Prentice - Hall.
HUNT, Ð’. R. (1984). Image restoration. In M. P. Ekstron (Ed.). Digital image
processing techniques (pp. 53 - 76). New York: Academic - Press.
JACKSON, P. C, Jr. (1985). Introduction to artificial intelligence. New York.
JULESZ, Ð’., & CAELLI, T. (1979). On limits of Fourier decomposition in visual
texture perception. Perception, 8 (1), 69 - 73.
JULESZ, Ð’., & CHANG, J. J. (1979). Symetry perception and spatial-frequency
channels. Perception, 8 (6), 711 - 718.
KOSSLYN, S. M. (1985). Stalking the mental image. Psychology Today, 19 (5), 22 -
28.
LANDY, M. S., COHEN, Y., & SPERLING, G. (1984a). HIPS: image processing
under UNIX, software and applications. Behavior Research Methods,
Instruments & Computers, 16 (2), 199 - 216.
LANDY, M. S., COHEN, Y., & SPERLING, G. (1984b). HIPS: a UNIX based image
processing system. Computer Vision, Graphics, and Image Processing, 25 (3),
331 - 347.
LEGGE, G. E. (1979). Adaptation to a spatial impulse: implications for Fourier
transform models of visual processing. Vision Research, 16 (12), 1407 -1418.
LONGUET-HIGGINS, H. С (1981). Artificial Intelligence - a new theoretical
psychology? Cognition, 10 (1 - 3), 197 - 200.
LOOMIS, J. H. (1986). Application of the computer in Psychological research (Rel.
Tec). In J. A. da Silva & S. M. de Carvalho (Eds.). Ribeirão Preto. Universidade
de São Paulo. Departamento de Psicologia e Educação.
MAYHEW, J., & FRISBY, J. (1984). Computer vision. In T. O'Shea & M. Eisenstadt
(Eds), Artificial Intelligence: tools, techniques, and applications. New York:
Harper & Row. 301 - 357.
MARR, D. (1982). Vision. New York: Freeman.
MULHOLLAND, T. M. (1986). Processamento de informação em busca visual.
Ciência e Cultura, 38 (6), 1414-1417.
NEISSER., U. (1976). Psicologfa Cognoscitiva. Em S. Mercado (Trad.), Cognitive
Psychology. Mexico: Editorial Trillas: (Trabalho original publicado em 1967).
NORMAN, D. A. (1980). Twelve issues for cognitive science. Cognitive Science, 4
(1), 1-12.
PAVEL, M. (1982). Introduction to UNIX. Behavior Research Methods &
Instrumentation, 14 (2), 135 -136.
PINKER, S. (1984). Visual cognition: an introduction. Cognition, 18 (1 - 3), 1 -12.
POGGIO, T. (1984, april). Vision by man and machine. Scientific American, 250 (4),
68-78.
PRIBAM, K. H., NUWER, M., & BARON, R. J. (1974). The holographic hipothesis of
memory structures in brain function and perception. In D. H. Krantz, R. С
Atkinson, R. D. Luce, & R. Suppes (Eds.), Contemporary development in
mathematical Psychology: measurement, psychophysics, and neural,
information processing (vol. 2). San Francisco: Freeman. 416 - 457.
RIEDL, T. R. (1984). HIPS in action: applications of HIPS in research. Behavior
Research Methods, Instruments & Computers, 16 (2), 217 - 222.
RIGGS, L. A. (1983). Optics, the eye and brain. Journal of the Optical Society of
America, 70 (6), 736 - 741.
RITCHIE, G., & THOMPSON, H. (1984). Natural language processing. In T. O'Shea
& M. Eisenstadt (Eds.), Artificial intelligence: tools, techniques, and applications.
New York: Harper & Row. 358 - 388.
ROTH, P. H. (1976). Simulation. In A. Ralston & C. L. Meek (Eds.), Encyclopedia of
computers and science (1a ed.). New York: Nostrand Reinhold. 1259 -1278.
ROYER, F. C, RZESZOTARSKI, M. S., GILMORE, G. С (1983). Applications of
two-dimensional Fourier transforms to problems of visual perception. Behavior
Research Methods & Instrumentation, 15 (2), 319 - 326.
RZESZOTARSKI, M. S., ROYER, F. C., GILMORE, G. С (1983). An Introduction to
two-dimensional fast Fourier transformations and their applications. Behavior
Research Methods & Instrumentation, 15 (2), 308 - 318.
SCHANK, R. C, & CHILDERS, P. G. (1984). The cognitive computer on the
language, learning, and artificial intelligence. Massachusets: Addison - Wesley.
SCHANK, R. C, & SLADE, S. S. (1986). Social and economic impacts of artificial
intelligence. In R. Trappl (Ed.), Impacts of artificial intelligence. New York.
Elsivier Science. 124 -130.
SEKULER, R., & ARMSTRONG, R. (1978). Fourier analysis of polar coordinate data
in visual psychology and psychophysics. Behavior Research Methods &
Instrumentation, 10 (1), 8 -14.
SIMAS, M. L. B. (1986). Análise de sistemas lineares aplicada à percepção visual. In
R. Gorayeb (Ed.). Anais da XVI Reunião Anual de Psicologia. Ribeirão Preto,
São Paulo. 248 - 252.
SLACK, J. M. (1984). Cognitive science research. In T. O'Shea & M. Eisenstadt
(Eds.), Artificial Intelligence: tools, techniques, and applications. New York:
Harper & Row. 155-177.
STEPHANECK, P. (1986). Carga mental e processamento de informação. Ciência e
Cultura, 38 (6), 1017-1020.
TANIMOTO, S., & KLINGER, A. (eds.) (1980). Structured computer vision: machine
perception through hierarchical computation structures. New York: McGraw-Hill.
WINSTON, P. H. (Ed.) (1975). The psychology of computer vision. New York:
McGraw-Hill. In R. Trappi (Ed.), Impacts of artificial intelligence. New York:
Elsivier Science. 131-139.
systems. Em M. P. Ekstrom (Ed.), Digital Images processing techniques. New
York: Academic Press. 289 - 360.
AHUJA, N.. & SCHACHTER, B. L. (1981). Image models. Computing Surveys, 13
(4), 373-397.
ANDREWS, H. C, & PATTERSON, С L. (1976). Outer product expansions and
uses in digital image processing. IEEE Transactions on Computer, Ñ - 25 (2),
140-143.
ARBIB, M. A. (1982). Cérebro, máquinas у matemáticas. In E. S. Manes (Trad.),
Brain, machines and mathematics. Madrid: Alianza Editorial: (Trabalho original
publicado em 1964).
AUBANEL, E. E., & OLDHAM, К. В. (1985). Fourier smoothing: without the fast
Fourier transform. Byte, 10(2), 207-240.
BADLER, N., & BAJCSY, R. (1978). Three-dimensional representations for
computer vision. Computer Graphics, 12 (3), 153 -160.
BALLARD, D. H., & BROWN, С. М. (1982). Computer vision. New York: Prentice -
Hall.
BESL, P. J., & JAIN, R. С (1985), Three-dimensional object recognition. Computing
Surveys, 17(1), 75-145.
BLACKMORE, W. R. (1982). Human software. Behavior Research Methods &
Instrumentation, 13 (4), 533-570.
BRAUNSTEIN, M. L. (1981). Contrast between human and machine vision: should
technology recapitulate phylogony? In J. Beck & A. Rosenfeld (Eds.), Human
and Machine Vision. Denver: Academic Press. 1-21.
BROWN, С. М. (1984). Computer vision and natural constraints. Science, 224
(4648), 1299-1305.
CAELLI, T. (1982). On discrimination visual texture and image. Perception &
. Psychophysics, 31 (2), 149-159.
CHARNIAK, E., & McDERMOTT, D. (1985). Introduction to artificial intelligence.
Massachusets: Addison - Wesley.
COHEN, P. R., & FEIGENBAUM, E. A. (1984). The handbook of artificial intelligence
(vol. 3). Callifornia: Willian Kaufman.
COIFFET, P. (1983). Robot technology: Interaction with the enviroment (vol. 2). New
York: Prentice - Hall.
EKSTRON, M. P. (1984). Digital image processing techniques. New York: Academic
Press.
FELDMAN, J. A. (1985). Connections. Byte, 10 (4), 277 - 284.
FISCHELER, M. A., & FIRSCHEIN, O. (1986). Intelligence and the computer. Al
Expert, 1 (4), 43 - 49.
FU, K. S., GONZALES, R. C, & LEE, С S. G. (1987). Robotics: control, sensing,
vision, and intelligence. New York: McGraw - Hill.
GEIGER, D. (1985). Visão computacional. Conferência no Laboratório Nacional de
Computação Científica. Rio de Janeiro.
HAVENS, D., & BAKER, M. P. (1986). Computer graphics. London: Prentice - Hall.
HUNT, Ð’. R. (1984). Image restoration. In M. P. Ekstron (Ed.). Digital image
processing techniques (pp. 53 - 76). New York: Academic - Press.
JACKSON, P. C, Jr. (1985). Introduction to artificial intelligence. New York.
JULESZ, Ð’., & CAELLI, T. (1979). On limits of Fourier decomposition in visual
texture perception. Perception, 8 (1), 69 - 73.
JULESZ, Ð’., & CHANG, J. J. (1979). Symetry perception and spatial-frequency
channels. Perception, 8 (6), 711 - 718.
KOSSLYN, S. M. (1985). Stalking the mental image. Psychology Today, 19 (5), 22 -
28.
LANDY, M. S., COHEN, Y., & SPERLING, G. (1984a). HIPS: image processing
under UNIX, software and applications. Behavior Research Methods,
Instruments & Computers, 16 (2), 199 - 216.
LANDY, M. S., COHEN, Y., & SPERLING, G. (1984b). HIPS: a UNIX based image
processing system. Computer Vision, Graphics, and Image Processing, 25 (3),
331 - 347.
LEGGE, G. E. (1979). Adaptation to a spatial impulse: implications for Fourier
transform models of visual processing. Vision Research, 16 (12), 1407 -1418.
LONGUET-HIGGINS, H. С (1981). Artificial Intelligence - a new theoretical
psychology? Cognition, 10 (1 - 3), 197 - 200.
LOOMIS, J. H. (1986). Application of the computer in Psychological research (Rel.
Tec). In J. A. da Silva & S. M. de Carvalho (Eds.). Ribeirão Preto. Universidade
de São Paulo. Departamento de Psicologia e Educação.
MAYHEW, J., & FRISBY, J. (1984). Computer vision. In T. O'Shea & M. Eisenstadt
(Eds), Artificial Intelligence: tools, techniques, and applications. New York:
Harper & Row. 301 - 357.
MARR, D. (1982). Vision. New York: Freeman.
MULHOLLAND, T. M. (1986). Processamento de informação em busca visual.
Ciência e Cultura, 38 (6), 1414-1417.
NEISSER., U. (1976). Psicologfa Cognoscitiva. Em S. Mercado (Trad.), Cognitive
Psychology. Mexico: Editorial Trillas: (Trabalho original publicado em 1967).
NORMAN, D. A. (1980). Twelve issues for cognitive science. Cognitive Science, 4
(1), 1-12.
PAVEL, M. (1982). Introduction to UNIX. Behavior Research Methods &
Instrumentation, 14 (2), 135 -136.
PINKER, S. (1984). Visual cognition: an introduction. Cognition, 18 (1 - 3), 1 -12.
POGGIO, T. (1984, april). Vision by man and machine. Scientific American, 250 (4),
68-78.
PRIBAM, K. H., NUWER, M., & BARON, R. J. (1974). The holographic hipothesis of
memory structures in brain function and perception. In D. H. Krantz, R. С
Atkinson, R. D. Luce, & R. Suppes (Eds.), Contemporary development in
mathematical Psychology: measurement, psychophysics, and neural,
information processing (vol. 2). San Francisco: Freeman. 416 - 457.
RIEDL, T. R. (1984). HIPS in action: applications of HIPS in research. Behavior
Research Methods, Instruments & Computers, 16 (2), 217 - 222.
RIGGS, L. A. (1983). Optics, the eye and brain. Journal of the Optical Society of
America, 70 (6), 736 - 741.
RITCHIE, G., & THOMPSON, H. (1984). Natural language processing. In T. O'Shea
& M. Eisenstadt (Eds.), Artificial intelligence: tools, techniques, and applications.
New York: Harper & Row. 358 - 388.
ROTH, P. H. (1976). Simulation. In A. Ralston & C. L. Meek (Eds.), Encyclopedia of
computers and science (1a ed.). New York: Nostrand Reinhold. 1259 -1278.
ROYER, F. C, RZESZOTARSKI, M. S., GILMORE, G. С (1983). Applications of
two-dimensional Fourier transforms to problems of visual perception. Behavior
Research Methods & Instrumentation, 15 (2), 319 - 326.
RZESZOTARSKI, M. S., ROYER, F. C., GILMORE, G. С (1983). An Introduction to
two-dimensional fast Fourier transformations and their applications. Behavior
Research Methods & Instrumentation, 15 (2), 308 - 318.
SCHANK, R. C, & CHILDERS, P. G. (1984). The cognitive computer on the
language, learning, and artificial intelligence. Massachusets: Addison - Wesley.
SCHANK, R. C, & SLADE, S. S. (1986). Social and economic impacts of artificial
intelligence. In R. Trappl (Ed.), Impacts of artificial intelligence. New York.
Elsivier Science. 124 -130.
SEKULER, R., & ARMSTRONG, R. (1978). Fourier analysis of polar coordinate data
in visual psychology and psychophysics. Behavior Research Methods &
Instrumentation, 10 (1), 8 -14.
SIMAS, M. L. B. (1986). Análise de sistemas lineares aplicada à percepção visual. In
R. Gorayeb (Ed.). Anais da XVI Reunião Anual de Psicologia. Ribeirão Preto,
São Paulo. 248 - 252.
SLACK, J. M. (1984). Cognitive science research. In T. O'Shea & M. Eisenstadt
(Eds.), Artificial Intelligence: tools, techniques, and applications. New York:
Harper & Row. 155-177.
STEPHANECK, P. (1986). Carga mental e processamento de informação. Ciência e
Cultura, 38 (6), 1017-1020.
TANIMOTO, S., & KLINGER, A. (eds.) (1980). Structured computer vision: machine
perception through hierarchical computation structures. New York: McGraw-Hill.
WINSTON, P. H. (Ed.) (1975). The psychology of computer vision. New York:
McGraw-Hill. In R. Trappi (Ed.), Impacts of artificial intelligence. New York:
Elsivier Science. 131-139.
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Publicado
2012-07-11
Cómo citar
Pinto Ribeiro Filho, N. (2012). Visão Computacional:: Um Novo Campo De Pesquisa Em Cognição Visual. Psicologia: Teoria E Pesquisa, 3(2), 138–150. Recuperado a partir de https://periodicos.unb.br/index.php/revistaptp/article/view/17018
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