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Eye‐Centered Color Adaptation in Global Illumination

Computer Graphics Forum, 2013
AbstractColor adaptation is a well known ability of the human visual system (HVS). Colors are perceived as constant even though the illuminant color changes. Indeed, the perceived color of a diffuse white sheet of paper is still white even though it is illuminated by a single orange tungsten light, whereas it is orange from a physical point of view ...
Gruson, Adrien   +2 more
openaire   +3 more sources

Visually-induced eye torsion and tilt adaptation

Vision Research, 1964
Abstract Ogle (1950) suggested that tilt adaptation may be due to a tendency of the eyes to tort so as to keep the normally vertical retinal meridian parallel to the main lines of the visual field. This suggestion has been tested by photographically recording the torsional position of an eye while a stationary line was inspected at various ...
I P, Howard, W B, Templeton
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Changes in sensitivity of the dark-adapted eye during concurrent light adaptation of the other eye

Visual Neuroscience, 1992
AbstractThresholds for detection of light by a dark-adapted test eye were measured while the other, non-test eye was either similarly dark adapted or while it was exposed to an intense red adapting field. An interocular effect that depends on the retinal location of the test was found: compared to the threshold during binocular dark adaptation ...
E, Auerbach   +2 more
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Adaptive Optics for Vision: The Eye's Adaptation to Point Spread Function

Journal of Refractive Surgery, 2003
ABSTRACT PURPOSE: Despite the fact that ocular aberrations blur retinal images, our subjective impression of the visual world is sharp, which suggests that the visual system compensates for subjective influence. If the brain adjusts for specific aberrations of the eye, vision should be clearest when looking through a subject's typical wave ...
Pablo, Artal   +5 more
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Adaptive Eye Location Using FuzzyART

2005
In this paper we propose a method of locating face and eyes using context-aware binarization. Face detection obtains the face region using neural network and mosaic image representation. Eye location extracts the location of eyes from the detected face region.
Jo Nam Jung   +2 more
openaire   +1 more source

Variable yield for adaptive EY-NPMA

Second IFIP International Conference on Wireless and Optical Communications Networks, 2005. WOCN 2005., 2005
Previous studies have shown that significant gains can be achieved, when the parameters of the EY-NPMA protocol are updated on the fly. When EY-NPMA adapts dynamically to the offered load, improved figures both in throughput and access delay are observed.
G. Dimitriadis, F.-N. Pavlidou
openaire   +1 more source

Aquatic Adaptations in Fish Eyes

1988
Of all the sense organs, eyes have probably attracted the most attention because of both their central importance and intricate construction. Darwin knew that such “organs of extreme perfection and complication” posed a crucial test of his theory because they seemed too good to have been shaped by natural selection (Darwin [1859] 1958). Since eyes must
openaire   +1 more source

Electrical Responses of the Light-Adapted Eye*

Journal of the Optical Society of America, 1953
Recordings of the human electroretinogram (an electrical response to light originating in the retina) are made while the eye is maintained at any one of three different levels of light adaptation. Conventional recording techniques and procedures are used.
openaire   +2 more sources

Eye-Tracking Based Adaptive Parallel Coordinates

SIGGRAPH Asia 2019 Posters, 2019
Parallel coordinates is a well-known technique for visual analysis of high-dimensional data. Although it is effective for interactive discovery of patterns in subsets of dimensions and data records, it also has scalability issues for large datasets. In particular, the amount of visual information potentially being shown in a parallel coordinates plot ...
Mohammad Chegini   +3 more
openaire   +1 more source

Eye Center Localization Using Adaptive Templates

2004 Conference on Computer Vision and Pattern Recognition Workshop, 2004
We present a reliable eye center localization algorithm from one color image of a human face. The detection is based on deformable templates, which are only controlled by four parameters. Our algorithm works instantaneously and does not need a preprocessing step like the creation of a database or initial parameters.
J. Rurainsky, P. Eisert
openaire   +1 more source

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