Premium
Bias Compensation for Photon Maps
Author(s) -
Schregle Roland
Publication year - 2003
Publication title -
computer graphics forum
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.578
H-Index - 120
eISSN - 1467-8659
pISSN - 0167-7055
DOI - 10.1111/j.1467-8659.2003.00720.x
Subject(s) - computer science , graphics , density estimation , computer vision , artificial intelligence , global illumination , bandwidth (computing) , algorithm , photon , generality , computer graphics (images) , optics , physics , mathematics , rendering (computer graphics) , statistics , psychology , computer network , estimator , psychotherapist
Abstract Density estimation techniques such as the photon map method rely on a particle transport simulation to reconstruct indirect illumination, which is proportional to the particle density. In the photon map framework, particles are usually located using nearest‐neighbour methods due to their generality. However, these methods have an inherent tradeoff between local bias and noise in the reconstructed illumination, which depends on the density estimate bandwidth. This paper presents a bias compensating operator for nearest‐neighbour density estimation which adapts the bandwidth according to the estimated bias in the reconstructed illumination.ACM CSS: I.3.7 Three‐Dimensional Graphics and Realism Raytracing