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Real-time image based lighting with streaming HDR-lightprobe sequences
Linköping University, Department of Science and Technology, Media and Information Technology. Linköping University, The Institute of Technology. (Computer Graphics and Image Processing)
Linköping University, Department of Science and Technology, Media and Information Technology. Linköping University, The Institute of Technology. (Computer Graphics and Image Processing)
Linköping University, Department of Science and Technology, Media and Information Technology. Linköping University, The Institute of Technology. (Computer Graphics and Image Processing)
Linköping University, Department of Science and Technology, Media and Information Technology. Linköping University, The Institute of Technology. (Computer Graphics and Image Processing)ORCID iD: 0000-0002-7765-1747
2012 (English)In: Proceedings of SIGRAD 2012 / [ed] Andreas Kerren, Stefan Seipel, Linköping, Sweden, 2012Conference paper, Oral presentation only (Other academic)
Abstract [en]

We present a framework for shading of virtual objects using high dynamic range (HDR) light probe sequencesin real-time. Such images (light probes) are captured using a high resolution HDR camera. In each frame ofthe HDR video, an optimized CUDA kernel is used to project incident lighting into spherical harmonics in realtime. Transfer coefficients are calculated in an offline process. Using precomputed radiance transfer the radiancecalculation reduces to a low order dot product between lighting and transfer coefficients. We exploit temporalcoherence between frames to further smooth lighting variation over time. Our results show that the frameworkcan achieve the effects of consistent illumination in real-time with flexibility to respond to dynamic changes in thereal environment.

Place, publisher, year, edition, pages
Linköping, Sweden, 2012.
Keyword [en]
High Dynamic Range video, HDR-video, Image based lighting, precomputed radiance transfer
National Category
Media and Communication Technology Computer Science
Identifiers
URN: urn:nbn:se:liu:diva-87260ISBN: 978-91-7519-723-4 (print)OAI: oai:DiVA.org:liu-87260DiVA: diva2:587377
Conference
Interactive Visual Analysis of Data (SIGRAD 2012), 29–30 November 2012, Växjö, Sweden
Projects
VPSCADICSCENIIT
Available from: 2013-01-15 Created: 2013-01-14 Last updated: 2015-09-22Bibliographically approved

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Real-time image based lighting with streaming HDR-light probe sequences(12635 kB)1535 downloads
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Hajisharif, SaghiKronander, JoelMiandji, EhsanUnger, Jonas

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
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  • de-DE
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  • Other locale
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  • rtf