COMPUTER VISION:
A NEW FIELD OF RESEARCH IN VISUAL COGNITION
Abstract
The purpose of the present article is to present a new
field of work for specialists in visual perception. Following cognition
science and one of its areas - artificial intelligence - a new field of research
emerges, which is called computer vision. Mathematical
morphology is emphasized in order to evidence the similarity between
human and computer vision, by means of the concepts of Fourier
formalism. The problems involved in image processing research are
discussed and a way of reducing high costs of conducting studies in the
field is then presented. The main scope of this new field of research is
the development of new models for visual cognition.
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References
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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
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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.
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vision, and intelligence. New York: McGraw - Hill.
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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.
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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,
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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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Published
2012-07-11
How to Cite
Pinto Ribeiro Filho, N. (2012). COMPUTER VISION:: A NEW FIELD OF RESEARCH IN VISUAL COGNITION. Psicologia: Teoria E Pesquisa, 3(2), 138–150. Retrieved from https://periodicos.unb.br/index.php/revistaptp/article/view/17018
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