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Published Articles >> Table of Contents >> Abstract
2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'01) - Volume 1
p. 561
Relighting with the Reflected Irradiance Field: Representation, Sampling and Reconstruction
Zhouchen Lin, Microsoft Research, China
Tien-Tsin Wong, Chinese University of Hong Kong
Heung-Yeung Shum, Microsoft Research, China
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DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CVPR.2001.990523
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| Abstract |
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Image-based relighting (IBL) is a technique to change the
illumination of an image-based object/scene. In this paper,
we define a representation called the reflected irradiance
field which records the reflection from an object surface irradiated
by a point light source that moves on a plane. This
representation is dual to that of the light field. It synthesizes
a novel image under a different illumination by interpolating
and superimposing appropriate recorded samples.
Furthermore, we study the minimum sampling problem
of the reflected irradiance field, i.e., how many point
light sources are needed during sampling. We find that there
exists a geometry-independent bound for the sampling interval
whenever the second-order derivatives of the surface
BRDF and the minimum depth of the scene are bounded.
This bound ensures that the error in the reconstructed image
is controlled by a given tolerance, regardless of the geometry.
Experiments on both synthetic and real surfaces are
conducted to verify our analysis.
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 Additional Information
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Citation:
Zhouchen Lin, Tien-Tsin Wong, Heung-Yeung Shum,
"Relighting with the Reflected Irradiance Field: Representation, Sampling and Reconstruction,"
cvpr,
p. 561,
2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'01) - Volume 1,
2001
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