Results 221 to 230 of about 31,872 (255)

An object-oriented model for brightness perception

Spatial Vision, 1990
An object-oriented model for the brightness perception of static images is presented. The philosophy behind the model is that the visual system aims at a brightness representation that displays object properties, and consequently is insensitive to variations in light source and changes in viewing position.
Blommaert, F.J.J., Martens, J.B.
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Brightness contrast perception in the mesopic region

Ophthalmic and Physiological Optics, 2006
Abstract Subjective evaluations of brightness contrast were obtained for Munsell chips of varying hues, lightness values and sizes against a white background illuminated in turn by four white illuminants at four background luminances in the mesopic region.
J P, Freyssinier, M S, Rea, J D, Bullough   +2 more
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Brightness contrast in stereoscopic 3D perception

Proceedings of the International Conference on Multimedia, Interaction, Design and Innovation, 2013
This paper discusses the effect of brightness contrast on stereoscopic 3D (S3D) perception from a psychophysical viewpoint. It considers the way in which S3D perception is influenced by different decisions of brightness contrast, and identifies the thresholds of S3D perception in several brightness adjustments, which can provide guidance during ...
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Levels of Brightness Perception

2006
Much can be learnt about how we perceive brightness and lightness from the errors we make when doing so. Brightness and lightness perception involve a number of mechanisms operating at different levels of visual processing. One mechanism is low-level, and processes spatial variations in brightness via multiscale filtering.
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Modeling Brightness Perception

2001
Visual psychophysics is a scientific area concerned with developing a complete understanding of how it works: from the physical input (the light flux entering the eye) to the output (the subjective image that we perceive). There are many aspects like brightness, contrast, color, shape, shading and texture.
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Implications of the Craik-O'Brien illusion for brightness perception

Vision Research, 1987
Measurements are reported for detection thresholds of high and low-pass filtered squarewaves, and for brightness matches of those waveforms. The threshold measurements agree closely with those of Campbell, Howell and Johnstone [J. Physiol., Lond. 284, 193-201 (1978)]: contrasts at which a high-pass squarewave was indistinguishable from an unfiltered ...
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A functional circuitry for edge-induced brightness perception

Nature Neuroscience, 2007
The identification of visual contours and surfaces is central to visual scene segmentation. One view of image construction argues that object contours are first identified and then surfaces are filled in. Although there are psychophysical and single-unit data to suggest that the filling-in view is correct, the underlying circuitry is unknown.
Chou P, Hung, Benjamin M, Ramsden, Anna Wang, Roe   +2 more
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Brightness perceptive space in monkeys (rhesus macaques)

Neuroscience and Behavioral Physiology, 1998
Operant differentiation was used to study black/white stimulus intensity discrimination (over the range 1-37 cd/m2; CIE-31 coordinates X = 0.340, Y = 0.304) in two monkeys (rhesus macaques). Confusion matrices were constructed from the probabilities that animals would make operant responses when required to select from pairs (a conditioned stimulus and
D V, Evtikhin, A V, Latanov, E N, Sokolov   +2 more
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Achromatic form perception is based on luminance, not brightness

Journal of the Optical Society of America A, 1992
Two figures were examined, one a subjective disk and the other a cup whose shape was revealed by shadows. The figures were presented in a single color on a background of a different color, and the observers adjusted the radiance of one color until, in the first case, the vividness of the subjective contour reached a minimum (minimum subjective contour)
S, Shioiri, P, Cavanagh
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Brightness perception, illusory contours, and corticogeniculate feedback

Visual Neuroscience, 1995
AbstractA neural network model is developed to explain how visual thalamocortical interactions give rise to boundary percepts such as illusory contours and surface percepts such as filled-in brightnesses. Top-down feedback interactions are needed in addition to bottom-up feed-forward interactions to simulate these data.
A, Gove, S, Grossberg, E, Mingolla
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