2020
DOI: 10.1109/access.2020.3042817
|View full text |Cite
|
Sign up to set email alerts
|

Colorimetric Observer Categories for Young and Aged Using Paired-Comparison Experiments

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

0
6
0

Year Published

2021
2021
2024
2024

Publication Types

Select...
4
1
1

Relationship

1
5

Authors

Journals

citations
Cited by 11 publications
(6 citation statements)
references
References 26 publications
0
6
0
Order By: Relevance
“…Participants' satisfaction of their achieved matches number (1)(2)(3)(4)(5)(6)(7)(8)(9)(10)(11)(12), gender (M/F), and expertise level (E/ nothing), while the y-axis shows the satisfaction level. For each participant, we report the mean and the 95% confidence interval.…”
Section: Results and Analysismentioning
confidence: 99%
See 2 more Smart Citations
“…Participants' satisfaction of their achieved matches number (1)(2)(3)(4)(5)(6)(7)(8)(9)(10)(11)(12), gender (M/F), and expertise level (E/ nothing), while the y-axis shows the satisfaction level. For each participant, we report the mean and the 95% confidence interval.…”
Section: Results and Analysismentioning
confidence: 99%
“…Age, gender, ethnicity, and culture are only some of the factors that also impact this process 4 . Therefore, color perception is a subjective attribute, resulting in discrepancies on the perceived color between individuals 5 . This inter‐observer variability is called observer metamerism 6 …”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…Other researchers proposed colorimetric observer models based on the CIE cone fundamentals to address the limitations of the photometric standard observer. 57,58 These models take observer age into account and enable interpolated color matching functions for increased accuracy. Chromaticity diagrams and other color science tools can be updated by incorporating the new colorimetric observers with the caveat of selection and calculation complexity.…”
Section: Interobserver Variabilitymentioning
confidence: 99%
“…The chromaticity differences between the test and reference stimuli calculated using their SPDs and different CMFs were then used to characterize the performance of the CMFs, with a larger difference suggesting a poorer performance. [6][7][8][9][10][11][12][13][14] Such a color matching method, however, has a limitation that the different chromaticity differences may not suggest a different performance between the CMFs. In other words, though two test stimuli have different chromaticity differences from the reference stimulus, both values could be smaller than the threshold of a noticeable color difference and do not suggest the performance of the CMFs.…”
Section: Introductionmentioning
confidence: 99%