Files:DescriptionFile size FormatBrowse
Fulltext12.33 MBPDF (requires Acrobat Reader)Previous | Next
  
Authors:Saghi Hajisharif: Linköping University, Sweden
Joel Kronander: Linköping University, Sweden
Ehsan Miandji: Linköping University, Sweden
Jonas Unger: Linköping University, Sweden
Publication title:Real-time Image Based Lighting with Streaming HDR-light Probe Sequences
Conference:Proceedings of SIGRAD 2012, Interactive Visual Analysis of Data, November 29–30, 2012, Växjö, Sweden
Publication type: Abstract and Fulltext
Issue:081
Article No.:007
Abstract:We present a framework for shading of virtual objects using high dynamic range (HDR) light probe sequences in real-time. Such images (light probes) are captured using a high resolution HDR camera. In each frame of the HDR video, an optimized CUDA kernel is used to project incident lighting into spherical harmonics in real time. Transfer coefficients are calculated in an offline process. Using precomputed radiance transfer the radiance calculation reduces to a low order dot product between lighting and transfer coefficients. We exploit temporal coherence between frames to further smooth lighting variation over time. Our results show that the framework can achieve the effects of consistent illumination in real-time with flexibility to respond to dynamic changes in the real environment.
Language:English
Keywords:I.3.3 [Computer Graphics]: Picture/Image Generation—Image based lighting, pre-computed radiance transfer, high dynamic range video
Year:2012
No. of pages:10
Pages:49-58
ISBN:978-91-7519-723-4
Series:Linköping Electronic Conference Proceedings
ISSN (print):1650-3686
ISSN (online):1650-3740
File:http://www.ep.liu.se/ecp/081/007/ecp12081007.pdf
Available:2012-11-20
Publisher:Linköping University Electronic Press, Linköpings universitet

REFERENCE TO THIS PAGE
Saghi Hajisharif, Joel Kronander, Ehsan Miandji, Jonas Unger (2012). Real-time Image Based Lighting with Streaming HDR-light Probe Sequences, Proceedings of SIGRAD 2012, Interactive Visual Analysis of Data, November 29–30, 2012, Växjö, Sweden http://www.ep.liu.se/ecp_article/index.en.aspx?issue=081;article=007 (accessed 8/1/2014)