Outdoor Illumination Estimation in Image Sequences for Augmented Reality

Claus B. Madsen, Brajesh Behari Lal

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

10 Citations (Scopus)
415 Downloads (Pure)

Abstract

The paper presents a technique for estimating the radiance of the sky and sun for outdoor, daylight illumination conditions. Shadows cast by dynamic objects are detected using color imagery, combined with depth information from a commercial stereo camera setup. Color information extracted from the detected shadows is used to estimate the radiance of the sun. The technique does not require special purpose objects in the scene, nor does it require High Dynamic Range imagery. Results are demonstrated by rendering augmented objects into real images with shading and shadows which are consistent with the real scene.
Original languageEnglish
Title of host publicationProceedings of GRAPP 2011 : International Conference on Computer Graphics Theory and Applications
EditorsPaul Richard, Jose Braz
Number of pages11
Place of PublicationPortugal
PublisherInstitute for Systems and Technologies of Information, Control and Communication
Publication date5 Mar 2011
Pages129 - 139
ISBN (Print)987-989-8425-45-4
Publication statusPublished - 5 Mar 2011

Bibliographical note

Awarded GRAPP 2011 Best Paper Award

Fingerprint

Dive into the research topics of 'Outdoor Illumination Estimation in Image Sequences for Augmented Reality'. Together they form a unique fingerprint.

Cite this