Visual performance after preadaptation to colored lights.

1970 ◽  
Vol 83 (3, Pt.1) ◽  
pp. 359-365 ◽  
Author(s):  
C. R. Cavonius ◽  
R. Hilz
Keyword(s):  
Visual Performance ◽  
Colored Lights

The Effects of Laser Illumination on Operational and Visual Performance of Pilots During Final Approach

2004 ◽  
Author(s):  
Van B. Nakagawara ◽  
Ronald W. Montgomery ◽  
Archie E. Dillard ◽  
Leon N. McLin ◽  
C. William Connor
Keyword(s):  
Visual Performance ◽  
Laser Illumination ◽  
Final Approach

Hume's Colors and Newton's Colored Lights

2018 ◽  
Vol 16 (1) ◽  
pp. 1-18 ◽  
Author(s):  
Dan Kervick
Keyword(s):  
Human Nature ◽  
Experimental Results ◽  
Broad Interpretation ◽  
Colored Lights

In a 2004 paper, ‘Hume's Missing Shade of Blue Reconsidered from a Newtonian Perspective,’ Eric Schliesser argues that Hume's well-known discussion of the missing shade of blue ‘reveals considerable ignorance of Newton's achievement in optics,’ and that Hume has failed to assimilate the lessons taught by Newton's optical experiments. I argue in this paper, contrary to Schliesser, that Hume's views on color are logically and evidentially independent of Newton's results. In developing my reading, I will argue that Schliesser accepts an overly broad interpretation of the implications of Newton's experimental results, and takes inadequate account of Hume's disciplined methodological restrictions on the kinds of experiential evidence that are to be admitted in building the foundations of his science of human nature.

The influences of tunnel lighting environment on drivers’ peripheral visual performance during transient adaptation

Displays ◽  
2020 ◽  
Vol 64 ◽  
pp. 101964
Author(s):  
Shiyong He ◽  
Bo Liang ◽  
Leena Tähkämö ◽  
Mikko Maksimainen ◽  
Liisa Halonen
Keyword(s):  
Visual Performance ◽  
Lighting Environment

scholarly journals The effect of thermochromic windows on visual performance and sustained attention

2021 ◽  
Vol 236 ◽  
pp. 110778
Author(s):  
Runqi Liang ◽  
Michael Kent ◽  
Robin Wilson ◽  
Yupeng Wu
Keyword(s):  
Sustained Attention ◽  
Visual Performance

scholarly journals LumNet

2021 ◽  
Vol 5 (2) ◽  
pp. 1-20
Author(s):  
Prince U.C. Songwa ◽  
Aaqib Saeed ◽  
Sachin Bhardwaj ◽  
Thijs W. Kruisselbrink ◽  
Tanir Ozcelebi
Keyword(s):  
Control Systems ◽  
Real Life ◽  
Visual Performance ◽  
Lighting Control ◽  
Domain Specific ◽  
Real Life Setting ◽  
Added Benefit ◽  
Measurement Devices ◽  
Indoor Spaces ◽  
Learned Features

High-quality lighting positively influences visual performance in humans. The experienced visual performance can be measured using desktop luminance and hence several lighting control systems have been developed for its quantification. However, the measurement devices that are used to monitor the desktop luminance in existing lighting control systems are obtrusive to the users. As an alternative, ceiling-based luminance projection sensors are being used recently as these are unobtrusive and can capture the direct task area of a user. The positioning of these devices on the ceiling requires to estimate the desktop luminance in the user's vertical visual field, solely using ceiling-based measurements, to better predict the experienced visual performance of the user. For this purpose, we present LUMNET, an approach for estimating desktop luminance with deep models through utilizing supervised and self-supervised learning. Our model learns visual representations from ceiling-based images, which are collected in indoor spaces within the physical vicinity of the user to predict average desktop luminance as experienced in a real-life setting. We also propose a self-supervised contrastive method for pre-training LUMNET with unlabeled data and we demonstrate that the learned features are transferable onto a small labeled dataset which minimizes the requirement of costly data annotations. Likewise, we perform experiments on domain-specific datasets and show that our approach significantly improves over the baseline results from prior methods in estimating luminance, particularly in the low-data regime. LUMNET is an important step towards learning-based technique for luminance estimation and can be used for adaptive lighting control directly on-device thanks to its minimal computational footprint with an added benefit of preserving user's privacy.

scholarly journals Comparison of the visual performance of iris-fixated phakic lens and implantable collamer lens to correct high myopia

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Xiao-ling Jiao ◽  
Jun Li ◽  
Zhe Yu ◽  
Ping-hui Wei ◽  
Hui Song
Keyword(s):  
Visual Acuity ◽  
High Myopia ◽  
Optical Quality ◽  
Visual Performance ◽  
Quality Analysis ◽  
Modulation Transfer ◽  
Implantable Collamer Lens ◽  
Good Visual Acuity ◽  
Significant Difference ◽  
Group 6

Abstract Background To compare visual performance between the iris-fixated phakic intraocular len (pIOL) and implantable collamer len (ICL) to correct high myopia. Methods Twenty-four eyes underwent iris-fixated pIOL implantation and 24 eyes underwent ICL implantation. At the 6-month follow-up, the best-corrected visual acuity (BCVA) and uncorrected distance visual acuity (UDVA) were compared between the iris-fixated pIOL and ICL groups. The objective scatter index (OSI), modulation transfer function (MTF) cutoff, and ocular aberrations were performed to evaluate postoperative visual quality between the two groups. Results No significant difference was found in UDVA, BCVA, and spherical equivalent between the iris-fixated pIOL and ICL groups (P > 0.05). Six months after surgery, the following values were significantly higher in the ICL group than in the iris-fixated pIOL group: MTF cutoff, strehl ratio and optical quality analysis system values at contrasts of 9 %, 20 %, and 100 % (P < 0.01). The OSI in the iris-fixated pIOL group was higher than in the ICL group 6 months after surgery (P < 0.01). All high-order aberrations were slightly more severe in the iris-fixated pIOL group than in the ICL group 6 months after surgery, although only trefoil (P = 0.023) differed significantly in this regard. Conclusions Both iris-fixated lenses and ICLs can provide good visual acuity. ICLs confer better visual performance in MTF-associated parameters and induce less intraocular light scattering than iris-fixated pIOLs.

EXPRESS: How the size of exogenous attentional cues alters visual performance: from response gain to contrast gain

2021 ◽  
pp. 174702182110248
Author(s):  
Xiaogang Wu ◽  
Aijun Wang ◽  
Ming Zhang
Keyword(s):  
Visual Selective Attention ◽  
Visual Performance ◽  
Target Size ◽  
Field Size ◽  
Gain Modulation ◽  
Absolute Size ◽  
Contrast Gain ◽  
Exogenous Cues ◽  
Exogenous Cue ◽  
Attentional Cues

The normalization model of attention (NMoA) predicts that the attention gain pattern is mediated by changes in the size of the attentional field and stimuli. However, existing studies have not measured gain patterns when the relative sizes of stimuli are changed. To investigate the NMoA, the present study manipulated the attentional field size, namely, the exogenous cue size. Moreover, we assessed whether the relative rather than the absolute size of the attentional field matters, either by holding the target size constant and changing the cue size (experiments 1-3) or by holding the cue size constant and changing the target size (experiment 4), in a spatial cueing paradigm of psychophysical procedures. The results show that the gain modulations changed from response gain to contrast gain when the precue size changed from small to large relative to the target size (experiments 1-3). Moreover, when the target size was once again made larger than the precue size, there was still a change in response gain (experiment 4). These results suggest that the size of exogenous cues plays an important role in adjusting the attentional field and that relative changes rather than absolute changes to exogenous cue size determine gain modulation. These results are consistent with the prediction of the NMoA and provide novel insights into gain modulations of visual selective attention.

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