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Triple product wavelet integrals for all-frequency relighting
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Source ACM Transactions on Graphics (TOG) archive
Volume 23 ,  Issue 3  (August 2004) table of contents
Proceedings of ACM SIGGRAPH 2004
SESSION: Lighting & sampling table of contents
Pages: 477 - 487  
Year of Publication: 2004
ISSN:0730-0301
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Authors
Ren Ng  Stanford University
Ravi Ramamoorthi  Columbia University
Pat Hanrahan  Stanford University
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 17,   Downloads (12 Months): 116,   Citation Count: 44
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ABSTRACT

This paper focuses on efficient rendering based on pre-computed light transport, with realistic materials and shadows under all-frequency direct lighting such an environment maps. The basic difficulty is representation and computation in the 6D space of light direction, view direction, and surface position. While image-based and synthetic methods for real-time rendering have been proposed, they do not scale to high sampling rates with variation of both lighting and viewpoint. Current approaches are therefore limited to lower dimensionality (only lighting or viewpoint variation, not both) or lower sampling rates (low frequency lighting and materials). We propose a new mathematical and computational analysis of pre-computed light transport. We use factored forms, separately pre-computing and representing visibility and material properties. Rendering then requires computing triple product integrals at each vertex, involving the lighting, visibility and BRDF. Our main contribution is a general analysis of these triple product integrals, which are likely to have broad applicability in computer graphics and numerical analysis. We first determine the computational complexity in a number of bases like point samples, spherical harmonics and wavelets. We then give efficient linear and sublinear-time algorithms for Haar wavelets, incorporating non-linear wavelet approximation of lighting and BRDFs. Practically, we demonstrate rendering of images under new lighting and viewing conditions in a few seconds, significantly faster than previous techniques.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

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CITED BY  44

Collaborative Colleagues:
Ren Ng: colleagues
Ravi Ramamoorthi: colleagues
Pat Hanrahan: colleagues