Adaptive radiosity textures for bidirectional ray tracing
SIGGRAPH '90 Proceedings of the 17th annual conference on Computer graphics and interactive techniques
Smooth B-spline illumination maps for bidirectional ray tracing
ACM Transactions on Graphics (TOG)
Global illumination using local linear density estimation
ACM Transactions on Graphics (TOG)
Proceedings of the 26th annual conference on Computer graphics and interactive techniques
Realistic image synthesis using photon mapping
Realistic image synthesis using photon mapping
Lighting Reconstruction Using Fast and Adaptive Density Estimation Techniques
Proceedings of the Eurographics Workshop on Rendering Techniques '97
Density Control for Photon Maps
Proceedings of the Eurographics Workshop on Rendering Techniques 2000
Path Differentials and Applications
Proceedings of the 12th Eurographics Workshop on Rendering Techniques
Density estimation techniques for global illumination
Density estimation techniques for global illumination
A comprehensive theory of volumetric radiance estimation using photon points and beams
ACM Transactions on Graphics (TOG)
Adaptive sampling for environment mapping
Proceedings of the 26th Spring Conference on Computer Graphics
Proceedings of the 2011 SIGGRAPH Asia Conference
The State of the Art in Interactive Global Illumination
Computer Graphics Forum
State of the art in photon density estimation
ACM SIGGRAPH 2012 Courses
Progressive expectation-maximization for hierarchical volumetric photon mapping
EGSR'11 Proceedings of the Twenty-second Eurographics conference on Rendering
Interactive global photon mapping
EGSR'09 Proceedings of the Twentieth Eurographics conference on Rendering
ACM Transactions on Graphics (TOG)
State of the art in photon density estimation
SIGGRAPH Asia 2013 Courses
Special Section on CAD/Graphics 2013: Adaptive importance photon shooting technique
Computers and Graphics
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A number of popular global illumination algorithms uses density estimation to approximate indirect illumination. The density estimate is performed on finite points -- particles -- generated by a stochastic sampling of the scene. In the course of the sampling, particles, representing light, are stochastically emitted from the light sources and reflected around the scene. The sampling induces noise, which in turn is handled by the density estimate during the illumination reconstruction. Unfortunately, this noise reduction imposes a systematic error (bias), which is seen as a blurring of prominent illumination features. This is often not desirable as these may lose clarity or vanish altogether. We present an accurate method for reconstruction of indirect illumination with photon mapping. Instead of reconstructing illumination using classic density estimation on finite points, we use the correlation of light footprints, created by using Ray Differentials during the light pass. This procedure gives a high illumination accuracy, improving the trade-off between bias and variance considerable as compared to traditional particle tracing algorithms. In this way we preserve structures in indirect illumination.