Mach Bands: How Many Models are Possible? Recent Experimental Findings and Modeling Attempts

[1]  Rene,et al.  THE AMERICAN JOURNAL OF PHYSIOLOGY. , 1897, Science.

[2]  H. K. Hartline,et al.  THE RECEPTIVE FIELDS OF OPTIC NERVE FIBERS , 1940 .

[3]  G. Fry.  Mechanisms subserving simultaneous brightness contrast. , 1948, American journal of optometry and archives of American Academy of Optometry.

[4]  Y. Kawagoe.  AMERICAN JOURNAL OF OPTOMETRY and ARCHIVES of AMERICAN ACADEMY OF OPTOMETRY , 1951 .

[5]  G L WALLS,et al.  The filling-in process. , 1954, American journal of optometry and archives of American Academy of Optometry.

[6]  G. Kanizsa.  Margini Quasi-percettivi in Campi con Stimolazione Omogenea , 1955 .

[7]  H. Barlow,et al.  Change of organization in the receptive fields of the cat's retina during dark adaptation , 1957, The Journal of physiology.

[8]  Vivian O'Brien,et al.  Contour Perception, Illusion and Reality* , 1958 .

[9]  H. K. Hartline,et al.  THE RESPONSES OF LIMULUS OPTIC NERVE FIBERS TO PATTERNS OF ILLUMINATION ON THE RECEPTOR MOSAIC , 1959, The Journal of general physiology.

[10]  John Krauskopf,et al.  Light Distribution in Human Retinal Images , 1962 .

[11]  D. Jameson,et al.  Mach bands : quantitative studies on neural networks in the retina , 1966 .

[12]  Threshold Measurements of Mach Bands , 1965 .

[13]  Jay Enoch,et al.  Mach Bands: Quantitative Studies on Neural Networks in the Retina , 1966 .

[14]  C. Enroth-Cugell,et al.  The contrast sensitivity of retinal ganglion cells of the cat , 1966, The Journal of physiology.

[15]  M. L. Matthews.  Appearance of Mach Bands for Short Durations and at Sharply Focused Contours , 1966 .

[16]  G. Békésy.  Mach- and hering-type lateral inhibition in vision , 1968 .

[17]  M. Davidson.  Perturbation approach to spatial brightness interaction in human vision. , 1968, Journal of the Optical Society of America.

[18]  G. von Békésy.  Mach- and Hering-type lateral inhibition in vision. , 1968, Vision research.

[19]  Brightness distribution across the mach bands measured with flicker photometry, and the linearity of sensory nervous interaction. , 1968, Journal of the Optical Society of America.

[20]  Georg v. Békésy,et al.  Brightness Distribution Across the Mach Bands Measured with Flicker Photometry, and the Linearity of Sensory Nervous Interaction , 1968 .

[21]  E. Land,et al.  Lightness and retinex theory. , 1971, Journal of the Optical Society of America.

[22]  D. Tolhurst.  On the possible existence of edge detector neurones in the human visual system , 1972 .

[23]  Eric G. Heinemann,et al.  Simultaneous Brightness Induction , 1972 .

[24]  A. Fiorentini.  Mach Band Phenomena , 1972 .

[25]  P Lennie,et al.  The control of retinal ganglion cell discharge by receptive field surrounds. , 1975, The Journal of physiology.

[26]  M. Sanders.  Handbook of Sensory Physiology , 1975 .

[27]  C. J. Keemink,et al.  Luminance gradients and edge effects , 1976, Vision Research.

[28]  D Marr,et al.  Early processing of visual information. , 1976, Philosophical transactions of the Royal Society of London. Series B, Biological sciences.

[29]  S. Bergström.  Common and relative components of reflected light as information about the illumination, colour, and three-dimensional form of objects. , 1977, Scandinavian journal of psychology.

[30]  P. L. Pease.  On color mach bands , 1978, Vision Research.

[31]  R. Haber,et al.  Visual Perception , 2018, Encyclopedia of Database Systems.

[32]  L. Sirovich,et al.  Equivalence classes of visual stimuli , 1978, Vision Research.

[33]  F. Ratliff,et al.  Mach bands are attenuated by adjacent bars or lines (A) , 1979 .

[34]  E Kaplan,et al.  Effects of dark adaptation on spatial and temporal properties of receptive fields in cat lateral geniculate nucleus. , 1979, The Journal of physiology.

[35]  Charles Samuel Harris,et al.  Visual coding and adaptability , 1980 .

[36]  D Marr,et al.  Theory of edge detection , 1979, Proceedings of the Royal Society of London. Series B. Biological Sciences.

[37]  J. Ross,et al.  High frequency limitations on mach bands , 1981, Vision Research.

[38]  J. Mollon.  Color vision. , 1982, Annual review of psychology.

[39]  N Milkman,et al.  Attenuation of Mach bands by adjacent stimuli. , 1983, Proceedings of the National Academy of Sciences of the United States of America.

[40]  S. Grossberg.  The quantized geometry of visual space: The coherent computation of depth, form, and lightness , 1982, Behavioral and Brain Sciences.

[41]  Stanley Coren,et al.  When “filling in” fails , 1983, Behavioral and Brain Sciences.

[42]  H. Barlow.  Vision: A computational investigation into the human representation and processing of visual information: David Marr. San Francisco: W. H. Freeman, 1982. pp. xvi + 397 , 1983 .

[43]  R. Watt,et al.  The recognition and representation of edge blur: Evidence for spatial primitives in human vision , 1983, Vision Research.

[44]  D. Teller.  Linking propositions , 1984, Vision Research.

[45]  F. Ratliff.  Why mach bands are not seen at the edges of a step , 1984, Vision Research.

[46]  S Grossberg,et al.  Neural dynamics of brightness perception: Features, boundaries, diffusion, and resonance , 1984, Perception & Psychophysics.

[47]  S. Grossberg,et al.  Neural dynamics of form perception: boundary completion, illusory figures, and neon color spreading. , 1985 .

[48]  Ennio Mingolla,et al.  Neural dynamics of perceptual grouping: Textures, boundaries, and emergent segmentations , 1985 .

[49]  R. Watt,et al.  A theory of the primitive spatial code in human vision , 1985, Vision Research.

[50]  Michael A. Webster,et al.  Temporal properties of brightness and color induction , 1986, Vision Research.

[51]  D. Burr,et al.  Mach bands are phase dependent , 1986, Nature.

[52]  John F. Canny,et al.  A Computational Approach to Edge Detection , 1986, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[53]  Ennio Mingolla,et al.  Neural Dynamics of Form Perception: Boundary Completion, Illusory Figures, And Neon Color Spreading , 1987 .

[54]  D. Todorović.  The Craik-O’Brien-Cornsweet effect: New varieties and their theoretical implications , 1987, Perception & psychophysics.

[55]  Stephen Grossberg,et al.  Neural dynamics of surface perception: Boundary webs, illuminants, and shape-from-shading , 1987, Comput. Vis. Graph. Image Process..

[56]  Robert L. Savoy,et al.  Contingent aftereffects and isoluminance: Psychophysical evidence for separation of color, orientation, and motion , 1987, Comput. Vis. Graph. Image Process..

[57]  S Grossberg,et al.  Cortical dynamics of three-dimensional form, color, and brightness perception: II. Binocular theory , 1988, Perception & psychophysics.

[58]  R. Kuehni.  The Principles of Harmony and Contrast of Colors and their Application to the Arts, by M. E. Chevreul, with introduction and commentary by Faber Birren, Schiffer Publishing, West Chester, Pennsylvania, 1987, 191 pp. Price: $49.50 , 1987 .

[59]  D. Burr.  Implications of the Craik-O'Brien illusion for brightness perception , 1987, Vision Research.

[60]  Stephen Grossberg,et al.  The Qijantized Geometry of Visual Space: The Coherent Computation of Depth, Form and Lightness , 1987 .

[61]  S. Grossberg,et al.  Neural dynamics of 1-D and 2-D brightness perception: A unified model of classical and recent phenomena , 1988, Perception & psychophysics.

[62]  D. Burr,et al.  Feature detection in human vision: a phase-dependent energy model , 1988, Proceedings of the Royal Society of London. Series B. Biological Sciences.

[63]  F. Kingdom,et al.  Border effects on brightness: a review of findings, models and issues. , 1988, Spatial vision.

[64]  D. Burr,et al.  The conditions under which Mach bands are visible , 1989, Vision Research.

[65]  J A Solomon,et al.  Texture interactions determine perceived contrast , 1989, Proceedings of the National Academy of Sciences of the United States of America.

[66]  Berthold K. P. Horn,et al.  Shape from shading , 1989 .

[67]  James P. Thomas,et al.  7 – THE PERCEPTION OF BRIGHTNESS AND DARKNESS: RELATIONS TO NEURONAL RECEPTIVE FIELDS , 1990 .

[68]  D. Teller.  3 – THE DOMAIN OF VISUAL SCIENCE , 1990 .

[69]  J. B. Martens,et al.  An object-oriented model for brightness perception. , 1990, Spatial vision.

[70]  D. Watt.  Visual Processing: Computational Psychophysical and Cognitive Research , 1990 .

[71]  Ken Nakayama,et al.  Brightness perception and filling-in , 1991, Vision Research.

[72]  D. Burr,et al.  Effects of monocular deprivation on the development of visual inhibitory interactions in kittens , 1991, Visual Neuroscience.

[73]  D. Knill,et al.  Apparent surface curvature affects lightness perception , 1991, Nature.

[74]  Optical illusions in clinical dermatology: the Mach band phenomenon and afterimages. , 1992, Dermatology.

[75]  F. Kingdom,et al.  A multi-channel approach to brightness coding , 1992, Vision Research.

[76]  Floyd Ratliff,et al.  Paul Signac and Color in Neo-Impressionism , 1992 .

[77]  Peter H. Schiller,et al.  The ON and OFF channels of the visual system , 1992, Trends in Neurosciences.

[78]  J. O'Regan,et al.  Solving the "real" mysteries of visual perception: the world as an outside memory. , 1992, Canadian journal of psychology.

[79]  David C. Burr,et al.  A non-linear model of feature detection. , 1992 .

[80]  E. Adelson.  Perceptual organization and the judgment of brightness. , 1993, Science.

[81]  M. Gur,et al.  Color enhances mach bands detection threshold and perceived brightness , 1993, Vision Research.

[82]  David J. Field,et al.  Contour integration by the human visual system: Evidence for a local “association field” , 1993, Vision Research.

[83]  Ian J. Hodgkinson,et al.  Constraints imposed by Mach bands on shape from shading , 1994, Comput. Graph..

[84]  M. C. Morrone,et al.  Illusory brightness step in the chevreul illusion , 1994, Vision Research.

[85]  M A Georgeson,et al.  From filters to features: location, orientation, contrast and blur. , 1994, Ciba Foundation symposium.

[86]  Heiko Neumann,et al.  An Outline of a Neural Architecture for Unified Visual Contrast and Brightness Perception , 1994 .

[87]  S Grossberg,et al.  3-D vision and figure-ground separation by visual cortex , 2010, Perception & psychophysics.

[88]  K. Arrington.  The temporal dynamics of brightness filling-in , 1994, Vision Research.

[89]  R. Watt.  A Computational Examination of Image Segmentation and the Initial Stages of Human Vision , 1994, Perception.

[90]  M. D'Zmura,et al.  Color contrast induction , 1994, Vision Research.

[91]  Heiko Neumann,et al.  A Contrast- and Luminance-driven Multiscale Network Model of Brightness Perception , 1995, Vision Research.

[92]  Stefan Fischer,et al.  Modeling brightness perception and syntactical image coding , 1995 .

[93]  George Sperling,et al.  Second-order illusions: Mach bands, chevreul, and Craik-O'Brien-Cornsweet , 1996, Vision Research.

[94]  L. Pessoa,et al.  Mach-Band Attenuation by Adjacent Stimuli: Experiment and Filling-in Simulations , 1996, Perception.

[95]  L E Arend,et al.  The perception of lightness in 3-D curved objects , 1996, Perception & psychophysics.

[96]  Heiko Neumann,et al.  Mechanisms of Neural Architecture for Visual Contrast and Brightness Perception , 1996, Neural Networks.

[97]  M. Paradiso,et al.  Temporal limits of brightness induction and mechanisms of brightness perception , 1996, Vision Research.

[98]  L. Pessoa,et al.  Finding out about filling-in: a guide to perceptual completion for visual science and the philosophy of perception. , 1998, The Behavioral and brain sciences.