TU Darmstadt / ULB / TUprints

Prediction accuracy of L- and M-cone based human pupil light models

Zandi, Babak ; Klabes, Julian ; Khanh, Tran Quoc (2021)
Prediction accuracy of L- and M-cone based human pupil light models.
In: Scientific Reports, 2020, 10 (1)
doi: 10.26083/tuprints-00018628
Article, Secondary publication, Publisher's Version

Copyright Information: CC BY 4.0 International - Creative Commons, Attribution.

Download (1MB) | Preview
Item Type: Article
Type of entry: Secondary publication
Title: Prediction accuracy of L- and M-cone based human pupil light models
Language: English
Date: 2021
Year of primary publication: 2020
Publisher: Springer Nature
Journal or Publication Title: Scientific Reports
Volume of the journal: 10
Issue Number: 1
Collation: 14 Seiten
DOI: 10.26083/tuprints-00018628
Corresponding Links:
Origin: Secondary publication via sponsored Golden Open Access

Multi-channel LED luminaires offer a powerful tool to vary retinal receptor signals while keeping visual parameters such as color or brightness perception constant. This technology could provide new fields of application in indoor lighting since the spectrum can be enhanced individually to the users’ favor or task. One possible application would be to optimize a light spectrum by using the pupil diameter as a parameter to increase the visual acuity. A spectral- and time-dependent pupil model is the key requirement for this aim. We benchmarked in our work selected L- and M-cone based pupil models to find the estimation error in predicting the pupil diameter for chromatic and polychromatic spectra at 100 cd/m2. We report an increased estimation error up to 1.21 mm for 450 nm at 60–300 s exposure time. At short exposure times, the pupil diameter was approximately independent of the used spectrum, allowing to use the luminance for a pupil model. Polychromatic spectra along the Planckian locus showed at 60–300 s exposure time, a prediction error within a tolerance range of ± 0.5 mm. The time dependency seems to be more essential than the spectral dependency when using polychromatic spectra.

Status: Publisher's Version
URN: urn:nbn:de:tuda-tuprints-186288
Classification DDC: 600 Technology, medicine, applied sciences > 600 Technology
600 Technology, medicine, applied sciences > 620 Engineering and machine engineering
Divisions: 18 Department of Electrical Engineering and Information Technology > Light Technology (from Oct. 2021 renamed "Adaptive Lighting Systems and Visual Processing")
Date Deposited: 22 Jul 2021 07:33
Last Modified: 22 Jul 2021 07:33
URI: https://tuprints.ulb.tu-darmstadt.de/id/eprint/18628
Actions (login required)
View Item View Item