Variance and variation reduction technique in the quasi-Monte Carlo global illumination algorithm

• Autorzy: Kozankiewicz P.
• Konferencja: Conference on Computer Graphics and Image Processing, GKPO' 2000 (6 ; 15-19.05.2000 ; Polesie, Poland)
• Języki publikacji: EN

Abstrakty

EN

The accuracy of the Monte Carlo and quasi-Monte Carlo algoriths depends on variance and variation in the sense of Hardy-Krause of the integral. This paper contains an error estimation of the quasi-Monte Carlo algorithm for some discontinuous functions that appear in radiosity and global illumination computation. Also an algorith that transforms the integral to reduce variance and variation is presented. It takes advantage of the BRDF properties and it can be used with diffuse and non-diffuse environments.

Słowa kluczowe

EN

radiosity; global illumination; quasi-Monte Carlo quadrature; variance; variation; reduction; discontinuity; error estimation

• Wydawca: Institute of Information Technology of the Warsaw University of Life Sciences – SGGW
• Czasopismo: Machine Graphics and Vision
• Rocznik: 2000
• Tom: Vol. 9, No. 1/2
• Strony: 289--296
• Opis fizyczny: Bibliogr. 9 poz.

Twórcy

autor

Kozankiewicz P.

• Warsaw University, Poland