International Journal of Computer Vision
A practical model for subsurface light transport
Proceedings of the 28th annual conference on Computer graphics and interactive techniques
A practical model for subsurface light transport
Proceedings of the 28th annual conference on Computer graphics and interactive techniques
Relighting with 4D incident light fields
ACM SIGGRAPH 2003 Papers
ACM SIGGRAPH 2005 Papers
A Theory of Inverse Light Transport
ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision - Volume 2
Fast separation of direct and global components of a scene using high frequency illumination
ACM SIGGRAPH 2006 Papers
Adaptive sampling of reflectance fields
ACM Transactions on Graphics (TOG)
Compressive light transport sensing
ACM Transactions on Graphics (TOG)
Kernel Nyström method for light transport
ACM SIGGRAPH 2009 papers
Bayesian compressive sensing using Laplace priors
IEEE Transactions on Image Processing
Optical computing for fast light transport analysis
ACM SIGGRAPH Asia 2010 papers
On the Duality of Forward and Inverse Light Transport
IEEE Transactions on Pattern Analysis and Machine Intelligence
Primal-dual coding to probe light transport
ACM Transactions on Graphics (TOG) - SIGGRAPH 2012 Conference Proceedings
Decomposing global light transport using time of flight imaging
CVPR '12 Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
Multiplexed illumination for scene recovery in the presence of global illumination
ICCV '11 Proceedings of the 2011 International Conference on Computer Vision
Symmetric photography: exploiting data-sparseness in reflectance fields
EGSR'06 Proceedings of the 17th Eurographics conference on Rendering Techniques
Decomposing Global Light Transport Using Time of Flight Imaging
International Journal of Computer Vision
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We show that, under spatially varying illumination, the light transport of diffuse scenes can be decomposed into direct, near-range (subsurface scattering and local inter-reflections) and far-range transports (diffuse inter-reflections). We show that these three component transports are redundant either in the spatial or the frequency domain and can be separated using appropriate illumination patterns. We propose a novel, efficient method to sequentially separate and acquire the component transports. First, we acquire the direct transport by extending the direct-global separation technique from floodlit images to full transport matrices. Next, we separate and acquire the near-range transport by illuminating patterns sampled uniformly in the frequency domain. Finally, we acquire the far-range transport by illuminating low-frequency patterns. We show that theoretically, our acquisition method achieves the lower bound our model places on the required number of patterns. We quantify the savings in number of patterns over the brute force approach. We validate our observations and acquisition method with rendered and real examples throughout.