Performance improvement of physically based spectral rendering using stochastic sampling

Authors:
Shin Watanabe;Shota Kanamori;Sho Ikeda;Bisser Raytchev;Toru Tamaki;Kazufumi Kaneda
Affiliations:
Department of Information Engineering, Graduate School of Engineering, Hiroshima University, Higashi-hiroshima, Japan;Department of Information Engineering, Graduate School of Engineering, Hiroshima University, Higashi-hiroshima, Japan;Department of Information Engineering, Graduate School of Engineering, Hiroshima University, Higashi-hiroshima, Japan;Department of Information Engineering, Graduate School of Engineering, Hiroshima University, Higashi-hiroshima, Japan;Department of Information Engineering, Graduate School of Engineering, Hiroshima University, Higashi-hiroshima, Japan;Department of Information Engineering, Graduate School of Engineering, Hiroshima University, Higashi-hiroshima, Japan
Venue:
CCIW'13 Proceedings of the 4th international conference on Computational Color Imaging
Year:
2013

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Abstract

In recent years, many researchers in computer graphics pay attention to spectral rendering where light transport is modeled with multiple wavelengths instead of just using the red, green and blue components. This paper discusses some of the advantages of spectral rendering compared to traditional RGB rendering. For the practical use of spectral rendering, it is important to improve the performance of calculating the spectral distribution of light. The paper also proposes a method for efficiently sampling the wavelength of light in photon mapping-based rendering.