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

Fulvio Bertolini, Claus Brøndgaard Madsen

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 objects 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 solution for real-time estimation of outdoor illumination conditions, based on the video stream from the camera on handheld devices. The problem is formulated in a radiometric framework, showing how the reflected radiance from the surface maps to pixel values, and how the reflected radiance relates to surface reflectance and the illumination environment. From this we derive how to estimate the color and intensity of the sun and sky illumination, respectively, using areas in the video stream that are in direct sunlight and in shadow. The presented approach allows for rendering augmentations that adapt in real-time to dynamically changing outdoor illumination conditions.

Original languageEnglish
Title of host publicationProceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 1: GRAPP
EditorsKadi Bouatouch, A. Augusto Sousa, Jose Braz
Number of pages8
Volume1
PublisherSCITEPRESS Digital Library
Publication date28 Feb 2020
Pages227-234
ISBN (Electronic)978-989-758-402-2
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
Country/TerritoryMalta
CityVolletta
Period27/02/202029/02/2020

Keywords

  • Mobile augmented reality
  • Mobile computing
  • Outdoor illumination
  • Real time light estimation

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