Spatially Varying Image Based Lighting using HDR-video

Jonas Unger, Joel Kronander, Per Larsson, Stefan Gustavson, Joakim Löw, Anders Ynnerman
Computers and Graphics, Volume 37, Number 7 - November 2013
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Illumination is one of the key components in the creation of realistic renderings of scenes containing virtual objects. In this paper, we present a set of novel algorithms and data structures for visualization, processing and rendering with real world lighting conditions captured using High Dynamic Range (HDR) video. The presented algorithms enable rapid construction of general and editable representations of the lighting environment, as well as extraction and fitting of sampled reflectance to parametric BRDF models. For efficient representation and rendering of the sampled lighting environment function, we consider an adaptive (2D/4D) data structure for storage of light field data on proxy geometry describing the scene. To demonstrate the usefulness of the algorithms, they are presented in the context of a fully integrated framework for spatially varying image based lighting. We show reconstructions of example scenes and resulting production quality renderings of virtual furniture with spatially varying real world illumination including occlusions.

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BibTex references

@Article\{UKLGLY13,
  author       = "Unger, Jonas and Kronander, Joel and Larsson, Per and Gustavson, Stefan and L\öw, Joakim and Ynnerman, Anders",
  title        = "Spatially Varying Image Based Lighting using HDR-video",
  journal      = "Computers and Graphics",
  number       = "7",
  volume       = "37",
  month        = "November",
  year         = "2013"
}

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