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Abstract: Realism in computer-generated images requires accurate input models for lighting, textures and BRDFs. One of the best ways of obtaining high-quality data is through measurements of scene attributes from real photographs by inverse rendering. However, inverse rendering methods have been largely limited to settings with highly controlled lighting. One of the reasons for this is the lack of a coherent mathematical framework for inverse rendering under general illumination conditions. Our main... (Update)
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BibTeX entry: (Update)
R. Ramamoorthi and P. Hanrahan. A signal-processing framework for inverse rendering. Computer Graphics (SIGGRAPH), 2001. http://citeseer.ist.psu.edu/ramamoorthi01signalprocessing.html More
@inproceedings{ ramamoorthi01signalprocessing,
author = "Ravi Ramamoorthi and Pat Hanrahan",
title = "A Signal-Processing Framework for Inverse Rendering",
booktitle = "{SIGGRAPH} 2001, Computer Graphics Proceedings",
publisher = "ACM Press / ACM SIGGRAPH",
editor = "Eugene Fiume",
pages = "117--128",
year = "2001",
url = "citeseer.ist.psu.edu/ramamoorthi01signalprocessing.html" }
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Documents on the same site (http://graphics.stanford.edu/~ravir/):
An Efficient Representation for Irradiance Environment Maps - Ramamoorthi, Hanrahan (2001) (Correct)
On the relationship between radiance and irradiance.. - Ramamoorthi, Hanrahan (2001) (Correct)
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