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Efficient image-based methods for rendering soft shadows
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Source International Conference on Computer Graphics and Interactive Techniques archive
Proceedings of the 27th annual conference on Computer graphics and interactive techniques table of contents
Pages: 375 - 384  
Year of Publication: 2000
ISBN:1-58113-208-5
Authors
Maneesh Agrawala  Pixar Animation Studios
Ravi Ramamoorthi  Gates Wing 3B-386, Stanford University, Stanford, CA
Alan Heirich  Compaq Computer Corporation
Laurent Moll  Compaq Computer Corporation
Sponsor
SIGGRAPH: ACM Special Interest Group on Computer Graphics and Interactive Techniques
Publisher
ACM Press/Addison-Wesley Publishing Co.  New York, NY, USA
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ABSTRACT

We present two efficient imaged-based approaches for computation and display of high-quality soft shadows from area light sources. Our methods are related to shadow maps and provide the associated benefits. The computation time and memory requirements for adding soft shadows to an image depend on image size and the number of lights, not geometric scene complexity. We also show that because area light sources are localized in space, soft shadow computations are particularly well suited to imaged-based rendering techniques. Our first approach—layered attenuation maps—achieves interactive rendering rates, but limits sampling flexibility, while our second method—coherence-based raytracing of depth images—is not interactive, but removes the limitations on sampling and yields high quality images at a fraction of the cost of conventional raytracers. Combining the two algorithms allows for rapid previewing followed by efficient high-quality rendering.


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  23

Collaborative Colleagues:
Maneesh Agrawala: colleagues
Ravi Ramamoorthi: colleagues
Alan Heirich: colleagues
Laurent Moll: colleagues