Yandan Lin

Prof. Dr. Yandan Lin

Fudan University, Shanghai, China
orcid

Research Focus & Metrics

Academic Career Length

18Years (2009-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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29 January 2015 in Investigative Ophthalmology & Visual Science
Verified
Journal Article
Open access
PDF file
Yandan LinYandan Lin
Yandan Lin
SFSteve Fotios
Steve Fotios
Minchen WeiMinchen Wei
Minchen Wei
YLYihong Liu
Yihong Liu
WGWeihong Guo
Weihong Guo
YSYaojie Sun
Yaojie Sun
Purpose.: Involuntary physiological responses offer an alternative means to psychophysical procedures for objectively evaluating discomfort glare. This study examined eye movement and pupil size responses to glare discomfort using new approaches to analysis: relative pupil size and speed of eye movement. Methods.: Participants evaluated glare discomfort using the standard de Boer rating scale under various conditions manipulated to influence glare discomfort. Eye movement was recorded using an electro-oculogram (EOG), and pupil size was recorded using Tobii glasses. Ten young (mean age: 24.5 years old) and 10 senior (mean age: 61 years old) participants were recruited for this experiment. Results.: Subjective evaluation of glare discomfort was highly correlated with eye movement (multiple correlation coefficient [R2] of >0.94, P < 0.001) and pupil constriction (R2 = 0.38, P < 0.001). Severe glare discomfort increased the speed of eye movement and caused larger pupil constriction. Larger variations of eye movement were found among seniors. Conclusions.: The two physiological responses studied here to characterize discomfort glare under various lighting conditions had significant correlation with the subjective evaluation. The correlation between discomfort glare and physiological responses suggests an objective way to characterize and evaluate discomfort glare that may overcome the problems of conventional subjective evaluation. It also offers an explanation as to why long-term exposure to discomfort glare leads to visual fatigue and eyestrain.

18 July 2014 in Optics Express
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Journal Article
Closed access
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Yandan LinYandan Lin
Yandan Lin
YLYihong Liu
Yihong Liu
YSYaojie Sun
Yaojie Sun
XZXiaoyan Zhu
Xiaoyan Zhu
JLJushui Lai
Jushui Lai
IHIngrid Heynderickx
Ingrid Heynderickx
To model discomfort glare from LED road lighting, the effect of four key variables on perceived glare was explored. These variables were: the average glare source luminance (Lg), the background luminance (Lb), the solid angle of the glare source from the perspective of the viewer (ω) and the angle between the glare source and the line of sight (θ). Based on these four variables 72 different light conditions were simulated in a scaled experimental set-up. Participants were requested to judge the perceived discomfort glare of these light conditions using the deBoer rating scale. All four variables and some of their interactions had indeed a significant effect on the deBoer rating. Based on these findings, we developed a model, and tested its general applicability in various verification experiments, including laboratory conditions as well as real road conditions. This verification proved the validity of the model with a correlation between measured and predicted values as high as 0.87 and a residual deviation of about 1 unit on the deBoer rating scale. These results filled the gap in estimating discomfort glare of LED road lighting and clarified similarities of and differences in discomfort glare between LED and traditional light sources.

20 October 2015 in Lighting Research & Technology
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Journal Article
Open access
Yandan LinYandan Lin
Yandan Lin
Minchen WeiMinchen Wei
Minchen Wei
KSKag Smet
Kag Smet
ATA Tsukitani
A Tsukitani
PBP Bodrogi
P Bodrogi
TKTq Khanh
Tq Khanh
Numerous efforts have been made to investigate how to characterize the effect of light sources on colour preference. This paper describes a psychophysical experiment to compare the colour preference evaluation among three sources for different lighting applications. Three lighting applications – restaurant, retail display, and supermarket – were created in two side-by-side full-scaled rooms. It was found that the colour preference varied with the lighting applications. Although none of the existing single-value measures can predict the preference for all three applications, a single measure is necessary for general consumer use given a careful definition of general lighting. In addition, lighting application specific measures could be useful for lighting professionals and experts. To provide detailed information, a colour distortion icon, with improved test colour samples will be useful.

22 September 2011 in Color Research & Application
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Journal Article
Closed access
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JJJiaqi Ju
Jiaqi Ju
DCDahua Chen
Dahua Chen
Yandan LinYandan Lin
Yandan Lin

24 November 2015 in Lighting Research & Technology
Verified
Journal Article
Closed access
PBP Bodrogi
P Bodrogi
Yandan LinYandan Lin
Yandan Lin
XXX Xiao
X Xiao
DSD Stojanovic
D Stojanovic
TKTq Khanh
Tq Khanh
The preference for the chromaticity of high illuminance, high colour rendering LED illumination of different scenes was investigated for Chinese and European observers. An experiment about the preference for perceived illumination chromaticity was conducted with the same multi-LED light engine, same viewing booth and same coloured objects transported between Germany and China. Observer preference for perceived illumination chromaticity was significantly influenced by correlated colour temperature (2700 K–6500 K), object scene colour (red, blue or mixed), cultural background (Chinese or European origin, living in Germany or in China) and gender (men, women). The results can be used to choose an appropriate correlated colour temperature (e.g. warm white or cool white) for a high-quality lighting product to illuminate different object scenes (e.g. red or blue objects) so as to achieve good user acceptance in the global market.

18 May 2020 in IEEE Access
Verified
Journal Article
Open access
CSChenyang Shi
Chenyang Shi
Yandan LinYandan Lin
Yandan Lin
Image quality assessment (IQA) model is designed to measure the image quality in consistent with subjective ratings by computational models. In this research, a reliable full reference color IQA model is proposed by combining the Visual saliency with Color appearance (VC) similarity, gradient similarity and chrominance similarity. Two new color appearance indices, vividness and depth, are selected to build the visual saliency similarity map. The structure and chrominance features are characterized by different channels of chosen color space. VC map plays two roles in the proposed model. One is utilized as feature to compute the local quality of distorted image, and the other is as a weight part to reflect the importance of local domain. The novel model is called visual saliency with color appearance and gradient similarity (VCGS). To quantify the specific parameters of VCGS, some experiments are conducted based on the statistical correlation indices. Massive experiments are performed on the publicly available benchmark single and multiple distortion databases, and the commonly evaluation criteria results prove that VCGS works with higher consistency with the subjective evaluations than the other state-of-the-art IQA models for the prediction accuracy. Besides, VCGS maintain a moderate computational complexity. The MATLAB source code of VCGS is publicly available online at https://github.com/AlAlien/VCGS.