Illuminant condition matching in augmented reality: A multi-vision, interest point based approach

M. Bingham*, D. Taylor, D. Gledhill, Z. Xu

*Corresponding author for this work

Research output: Chapter in Book or Report/Conference proceedingConference Proceedingpeer-review

2 Citations (Scopus)

Abstract

For the output of an augmented reality application to appear realistic a number of issues need to be taken into consideration. The illumination correspondence between the real and virtual components should be taken into account as well as the scene level of detail and the accuracy of alignment between the two worlds. This paper focuses on matching world illumination and photometric registration methods. It introduces a new technique that aims to utilize shadow/object interest point correspondences in order to locate and virtually reproduce real-life illuminants. The technique is attractive as it makes use of natural calibration objects in the form of natural scene geometry and associated shadows. Computational complexity is kept relatively low by using an interest point based approach. Further work to be undertaken is discussed.

Original languageEnglish
Title of host publicationProceedings of the 2009 6th International Conference on Computer Graphics, Imaging and Visualization
Subtitle of host publicationNew Advances and Trends, CGIV2009
Pages57-61
Number of pages5
DOIs
Publication statusPublished - 2009
Externally publishedYes
Event2009 6th International Conference on Computer Graphics, Imaging and Visualization: New Advances and Trends, CGIV2009 - Tianjin, China
Duration: 11 Aug 200914 Aug 2009

Publication series

NameProceedings of the 2009 6th International Conference on Computer Graphics, Imaging and Visualization: New Advances and Trends, CGIV2009

Conference

Conference2009 6th International Conference on Computer Graphics, Imaging and Visualization: New Advances and Trends, CGIV2009
Country/TerritoryChina
CityTianjin
Period11/08/0914/08/09

Keywords

  • Augmented reality
  • Interest points
  • Realism
  • Shadow

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