Wavelet Importance Sampling: Efficiently Evaluating Products of Complex Functions
(2005) 32th International Conference on Computer Graphics and Interactive Techniques, 2005 24(3). p.1166-1175- Abstract
- We present a new technique for importance sampling products of complex functions using wavelets. First, we generalize previous work on wavelet products to higher dimensional spaces and show how this product can be sampled on-the-fly without the need of evaluating the full product. This makes it possible to sample products of high-dimensional functions even if the product of the two functions in itself is too memory consuming. Then, we present a novel hierarchical sample warping algorithm that generates high-quality point distributions, which match the wavelet representation exactly. One application of the new sampling technique is rendering of objects with measured BRDFs illuminated by complex distant lighting - our results demonstrate how... (More)
- We present a new technique for importance sampling products of complex functions using wavelets. First, we generalize previous work on wavelet products to higher dimensional spaces and show how this product can be sampled on-the-fly without the need of evaluating the full product. This makes it possible to sample products of high-dimensional functions even if the product of the two functions in itself is too memory consuming. Then, we present a novel hierarchical sample warping algorithm that generates high-quality point distributions, which match the wavelet representation exactly. One application of the new sampling technique is rendering of objects with measured BRDFs illuminated by complex distant lighting - our results demonstrate how the new sampling technique is more than an order of magnitude more efficient than the best previous techniques. Copyright (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/616625
- author
- Clarberg, Petrik LU ; Jarosz, Wojciech ; Akenine-Möller, Tomas LU and Jensen, Henrik Wann
- organization
- publishing date
- 2005
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- keywords
- Complex products, Monte Carlo techniques, Global illumination, Rendering, Wavelets, Importance sampling
- host publication
- ACM Transactions on Graphics
- volume
- 24
- issue
- 3
- pages
- 1166 - 1175
- publisher
- Association for Computing Machinery (ACM)
- conference name
- 32th International Conference on Computer Graphics and Interactive Techniques, 2005
- conference location
- Los Angeles, CA, United States
- conference dates
- 2005-07-31 - 2005-08-04
- external identifiers
-
- wos:000231223700101
- scopus:33646034934
- ISSN
- 0730-0301
- DOI
- 10.1145/1073204.1073328
- language
- English
- LU publication?
- yes
- id
- 9217db4c-5817-4bc2-afc2-a73774c82aaa (old id 616625)
- date added to LUP
- 2016-04-01 16:49:26
- date last changed
- 2022-04-23 00:44:20
@inproceedings{9217db4c-5817-4bc2-afc2-a73774c82aaa, abstract = {{We present a new technique for importance sampling products of complex functions using wavelets. First, we generalize previous work on wavelet products to higher dimensional spaces and show how this product can be sampled on-the-fly without the need of evaluating the full product. This makes it possible to sample products of high-dimensional functions even if the product of the two functions in itself is too memory consuming. Then, we present a novel hierarchical sample warping algorithm that generates high-quality point distributions, which match the wavelet representation exactly. One application of the new sampling technique is rendering of objects with measured BRDFs illuminated by complex distant lighting - our results demonstrate how the new sampling technique is more than an order of magnitude more efficient than the best previous techniques. Copyright}}, author = {{Clarberg, Petrik and Jarosz, Wojciech and Akenine-Möller, Tomas and Jensen, Henrik Wann}}, booktitle = {{ACM Transactions on Graphics}}, issn = {{0730-0301}}, keywords = {{Complex products; Monte Carlo techniques; Global illumination; Rendering; Wavelets; Importance sampling}}, language = {{eng}}, number = {{3}}, pages = {{1166--1175}}, publisher = {{Association for Computing Machinery (ACM)}}, title = {{Wavelet Importance Sampling: Efficiently Evaluating Products of Complex Functions}}, url = {{http://dx.doi.org/10.1145/1073204.1073328}}, doi = {{10.1145/1073204.1073328}}, volume = {{24}}, year = {{2005}}, }