Efficient product sampling using hierarchical thresholding
(2008) In Visual Computer 24(7-9). p.465-474- Abstract (Swedish)
- Abstract in Undetermined
We present an efficient method for importance sampling the product of multiple functions. Our algorithm computes a quick approximation of the product on the fly, based on hierarchical representations of the local maxima and averages of the individual terms. Samples are generated by exploiting the hierarchical properties of many low-discrepancy sequences, and thresholded against the estimated product. We evaluate direct illumination by sampling the triple product of environment map lighting, surface reflectance, and a visibility function estimated per pixel. Our results show considerable noise reduction compared to existing state-of-the-art methods using only the product of lighting and BRDF.
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/1545877
- author
- Rousselle, Fabrice ; Clarberg, Petrik LU ; Leblanc, Luc ; Ostromoukhov, Victor and Poulin, Pierre
- organization
- publishing date
- 2008
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- importance sampling, rejection sampling, multiple functions, ray tracing, visibility
- in
- Visual Computer
- volume
- 24
- issue
- 7-9
- pages
- 465 - 474
- publisher
- Springer
- external identifiers
-
- scopus:46749111791
- ISSN
- 0178-2789
- DOI
- 10.1007/s00371-008-0227-y
- language
- English
- LU publication?
- yes
- id
- 63086b29-f375-4b0b-82a3-7e82e3b6cd7d (old id 1545877)
- date added to LUP
- 2016-04-01 14:02:12
- date last changed
- 2022-01-27 22:28:06
@article{63086b29-f375-4b0b-82a3-7e82e3b6cd7d,
abstract = {{<b>Abstract in Undetermined</b><br/><br>
We present an efficient method for importance sampling the product of multiple functions. Our algorithm computes a quick approximation of the product on the fly, based on hierarchical representations of the local maxima and averages of the individual terms. Samples are generated by exploiting the hierarchical properties of many low-discrepancy sequences, and thresholded against the estimated product. We evaluate direct illumination by sampling the triple product of environment map lighting, surface reflectance, and a visibility function estimated per pixel. Our results show considerable noise reduction compared to existing state-of-the-art methods using only the product of lighting and BRDF.}},
author = {{Rousselle, Fabrice and Clarberg, Petrik and Leblanc, Luc and Ostromoukhov, Victor and Poulin, Pierre}},
issn = {{0178-2789}},
keywords = {{importance sampling; rejection sampling; multiple functions; ray tracing; visibility}},
language = {{eng}},
number = {{7-9}},
pages = {{465--474}},
publisher = {{Springer}},
series = {{Visual Computer}},
title = {{Efficient product sampling using hierarchical thresholding}},
url = {{http://dx.doi.org/10.1007/s00371-008-0227-y}},
doi = {{10.1007/s00371-008-0227-y}},
volume = {{24}},
year = {{2008}},
}