SIGGRAPH '86 Proceedings of the 13th annual conference on Computer graphics and interactive techniques
Particle transport and image synthesis
SIGGRAPH '90 Proceedings of the 17th annual conference on Computer graphics and interactive techniques
Global illumination using photon maps
Proceedings of the eurographics workshop on Rendering techniques '96
Balanced aspect ratio trees: combining the advantages of k-d trees and octrees
Proceedings of the tenth annual ACM-SIAM symposium on Discrete algorithms
An Algorithm for Finding Best Matches in Logarithmic Expected Time
ACM Transactions on Mathematical Software (TOMS)
Multidimensional binary search trees used for associative searching
Communications of the ACM
Realistic image synthesis using photon mapping
Realistic image synthesis using photon mapping
Interactive headlight simulation: a case study of interactive distributed ray tracing
EGPGV '02 Proceedings of the Fourth Eurographics Workshop on Parallel Graphics and Visualization
Accurate light source acquisition and rendering
ACM SIGGRAPH 2003 Papers
Capturing and rendering with incident light fields
EGRW '03 Proceedings of the 14th Eurographics workshop on Rendering
Simulating multiple scattering in hair using a photon mapping approach
ACM SIGGRAPH 2006 Papers
Realtime caustics using distributed photon mapping
EGSR'04 Proceedings of the Fifteenth Eurographics conference on Rendering Techniques
Megakernels considered harmful: wavefront path tracing on GPUs
Proceedings of the 5th High-Performance Graphics Conference
Improving robustness of Monte-Carlo global illumination with directional regularization
SIGGRAPH Asia 2013 Technical Briefs
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We present a new method for estimating the radiance function of complex area light sources. The method is based on Jensen's photon mapping algorithm. In order to capture high angular frequencies in the radiance function, we incorporate the angular domain into the density estimation. However, density estimation in position-direction space makes it necessary to find a tradeoff between the spatial and angular accuracy of the estimation. We identify the parameters which are important for this tradeoff and investigate the typical estimation errors. We show how the large data size, which is inherent to the underlying problem, can be handled. The method is applied to different automotive tail lights. It can be applied to a wide range of other real-world light sources.