Image-based Material Characterization for Daylight Simulation Using Illuminance-proxy and Artificial Neural Networks

N. Forouzandeh Shahraki, E. Brembilla, John Alstan Jakubiec

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

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A key aspect of daylight modeling is the definition of material optical properties. Characterization of such properties in existing indoor spaces with current methods is a labour-intensive and time-consuming task, especially in surfaces with considerable visual complexity. Faster and more accurate estimations of such properties will lead to more efficient workflows. Towards this direction, the present work studied the feasibility of using two novel approaches i.e. illuminance-proxy and probabilistic image based material characterization methods for implementation in daylight modeling. These approaches are compared with two common techniques, namely the manual selection from a measured dataset and the use of illuminance/luminance measurements. According to the results, both novel techniques are able to predict spatiallyaveraged Daylight Autonomy, continuous Daylight Autonomy, and Useful Daylight Illuminance in 300-3000 lx range with less than 5% error
Original languageEnglish
Title of host publicationProceedings of the 14th European Lighting Conference LUX EUROPA 2022
Place of PublicationPrague
Number of pages8
ISBN (Electronic)978-80-11-02269-3
Publication statusPublished - 2022
Event14th European Lighting Conference: LUX EUROPA 2022 - Hotel Olympik / Artemis, Prague, Czech Republic
Duration: 20 Sept 202222 Sept 2022


Conference14th European Lighting Conference
Country/TerritoryCzech Republic
Internet address

Bibliographical note

Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project
Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.


  • on-site
  • measurement
  • visual
  • Digitalization
  • Optical


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