Trichromatic approximation for computer graphics illumination models
Proceedings of the 18th annual conference on Computer graphics and interactive techniques
Recovering high dynamic range radiance maps from photographs
Proceedings of the 24th annual conference on Computer graphics and interactive techniques
Acquiring the reflectance field of a human face
Proceedings of the 27th annual conference on Computer graphics and interactive techniques
Numerical Recipes in C++: the art of scientific computing
Numerical Recipes in C++: the art of scientific computing
A lighting reproduction approach to live-action compositing
Proceedings of the 29th annual conference on Computer graphics and interactive techniques
Picture perfect RGB rendering using spectral prefiltering and sharp color primaries
EGRW '02 Proceedings of the 13th Eurographics workshop on Rendering
Comparing Spectral Color Computation Methods
IEEE Computer Graphics and Applications
The multiple-camera 3-D production studio
IEEE Transactions on Circuits and Systems for Video Technology
Consistent scene illumination using a chromatic flash
Computational Aesthetics'09 Proceedings of the Fifth Eurographics conference on Computational Aesthetics in Graphics, Visualization and Imaging
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This paper presents a technique for improving color matching results in an LED-based lighting reproduction system for complex light source spectra. In our technique, we use measurements of the spectral response curve of the camera system as well as one or more spectral reflectance measurements of the illuminated object to optimize the color matching. We demonstrate our technique using two LED-based light sources: an off-the-shelf 3-channel RGB LED light source and a custom-built 9-channel multi-spectral LED light source. We use our technique to reproduce complex lighting spectra including both fluorescent and tungsten illumination using a Macbeth color checker chart and a human face as test subjects. We show that by using knowledge of the camera spectral response and/or the spectral reflectance of the subjects that we can significantly improve the accuracy of the color matching using either the 3-channel or the 9-channel light, achieving acceptable matches for the 3-channel source and very close matches for the multi-spectral 9-channel source.