Estimating Outdoor Illumination Conditions Based on Detection of Dynamic Shadows

Claus B. Madsen, Brajesh Behari Lal

Research output: Contribution to book/anthology/report/conference proceedingBook chapterResearchpeer-review

7 Citations (Scopus)
610 Downloads (Pure)

Abstract

The paper proposes a technique for estimation outdoor illumination conditions in terms of sun and sky radiances directly from pixel values of dynamic shadows detected in video sequences produved by a commercial stereo camera. The technique is applied to the rendering of virtual object into the image stream to achieve realistic Augmented Reality where the shading and the shadowing of virtual objects is consistent with the real scene. Other techniques require the presence of a known object, a light probe, in the scene for estimating illumination. The technique proposed here works in general scenes and does not require High Dynamic Range imagery. Experiments demonstrate that sun and sky radiances are estimated within 7% of ground truth values.
Original languageEnglish
Title of host publicationComputer Vision, Imaging and Computer Graphics : Theory and Applications
EditorsGabriela Csurka, Martin Kraus, Leonid Mestetskiy, Paul Richard, Jose Braz
Number of pages20
PublisherSpringer Publishing Company
Publication date1 Mar 2013
Pages33-52
Chapter2
ISBN (Print)978-3-642-32349-2
ISBN (Electronic)987-3-642-32350-8
DOIs
Publication statusPublished - 1 Mar 2013
EventInternational Conference on Computer Graphics Theory and Applications (GRAPP 2011) - Vilamoura, Portugal
Duration: 5 Mar 20117 Mar 2011

Conference

ConferenceInternational Conference on Computer Graphics Theory and Applications (GRAPP 2011)
CountryPortugal
CityVilamoura
Period05/03/201107/03/2011
SeriesCommunications in Computer and Information Science
Volume274
ISSN1865-0929

Bibliographical note

Best paper award, GRAPP 2011

Keywords

  • Augmented Reality
  • Computer Vision
  • Computer Graphics

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