Outdoor Illumination Estimation for Mobile Augmented Reality: Real-Time Analysis of Shadow and Lit Surfaces to Measure the Daylight Illumination

Claus Brøndgaard Madsen, Fulvio Bertolini

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

Abstract

A realistic illumination model in Augmented Reality (AR) applications is crucial for perceiving virtual ob-jects as real. In order to correctly blend digital content with the physical world it is necessary to measure,in real time, the illumination present in the scene surrounding the user. The paper proposes a novel solutionfor real-time estimation of outdoor illumination conditions, based on the video stream from the camera onhandheld devices. The problem is formulated in a radiometric framework, showing how the reflected radiancefrom the surface maps to pixel values, and how the reflected radiance relates to surface reflectance and theillumination environment. From this we derive how to estimate the color and intensity of the sun and skyillumination, respectively, using areas in the video stream that are in direct sunlight and in shadow. The pre-sented approach allows for rendering augmentations that adapt in real-time to dynamically changing outdoorillumination condition.
Original languageEnglish
Title of host publicationProceedings: GRAPP 2020 - 15th International Conference on Computer Graphics Theory and Applications
Number of pages10
PublisherInstitute for Systems and Technologies of Information, Control and Communication
Publication date28 Feb 2020
DOIs
Publication statusPublished - 28 Feb 2020
EventGRAPP 2020 - 15th International Conference on Computer Graphics Theory and Applications - Volletta, Malta
Duration: 27 Feb 202029 Feb 2020
Conference number: 15

Conference

ConferenceGRAPP 2020 - 15th International Conference on Computer Graphics Theory and Applications
Number15
CountryMalta
CityVolletta
Period27/02/202029/02/2020

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Keywords

  • Augmented Reality

Cite this

Madsen, C. B., & Bertolini, F. (2020). Outdoor Illumination Estimation for Mobile Augmented Reality: Real-Time Analysis of Shadow and Lit Surfaces to Measure the Daylight Illumination. In Proceedings: GRAPP 2020 - 15th International Conference on Computer Graphics Theory and Applications Institute for Systems and Technologies of Information, Control and Communication. https://doi.org/10.5220/0008943002270234