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Generalization of Lambert's reflectance model
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Source International Conference on Computer Graphics and Interactive Techniques archive
Proceedings of the 21st annual conference on Computer graphics and interactive techniques table of contents
Pages: 239 - 246  
Year of Publication: 1994
ISBN:0-89791-667-0
Authors
Michael Oren  Department of Computer Science, Columbia University, New York, NY
Shree K. Nayar  Department of Computer Science, Columbia University, New York, NY
Sponsor
SIGGRAPH: ACM Special Interest Group on Computer Graphics and Interactive Techniques
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 27,   Downloads (12 Months): 192,   Citation Count: 34
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ABSTRACT

Lambert's model for body reflection is widely used in computer graphics. It is used extensively by rendering techniques such as radiosity and ray tracing. For several real-world objects, however, Lambert's model can prove to be a very inaccurate approximation to the body reflectance. While the brightness of a Lambertian surface is independent of viewing direction, that of a rough surface increases as the viewing direction approaches the light source direction. In this paper, a comprehensive model is developed that predicts body reflectance from rough surfaces. The surface is modeled as a collection of Lambertian facets. It is shown that such a surface is inherently non-Lambertian due to the foreshortening of the surface facets. Further, the model accounts for complex geometric and radiometric phenomena such as masking, shadowing, and interreflections between facets. Several experiments have been conducted on samples of rough diffuse surfaces, such as, plaster, sand, clay, and cloth. All these surface demonstrate significant deviation from Lambertian behavior. The reflectance measurements obtained are in strong agreement with the reflectance predicted by the model.


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  34

Collaborative Colleagues:
Michael Oren: colleagues
Shree K. Nayar: colleagues